As such, it is a crucial piece of the Kubernetes puzzle since it allows DevOps and Kubernetes administrators to observe and control the monitoring and operational elements of their Kubernetes clusters.

The Kubernetes dashboard provides the following features, which is pretty much exhaustive:

• A high-level overview of the Kubernetes cluster
• Install apps on your Kubernetes clusters
• Get a detailed overview of the apps that are now executing
• Investigate those applications
• Get an overview of the cluster resources that are active in the Kubernetes cluster
• Individual kubernetes resources can be created, modified, updated, and deleted
• Information about the current condition of the Kubernetes resources in the cluster
• Basic resource measurements, such as resource use for particular Kubernetes objects

There was a time when the Kubernetes Dashboard was the only thing available. This dashboard is the default choice for anyone who wishes to monitor a Kubernetes cluster, although there have been several alternatives built over the years that are worth investigating.

Kubernetes is obviously not for everyone. For one, unless you want to develop a complex solution for a large audience, then there’s no point using Kubernetes.

If you want to develop a simple website, you will find it more reasonable to use other alternatives as Kubernetes is known to be complex and capable of reducing productivity.

We’ll look at some of the alternative Kubernetes dashboards in this post.

Also Read: Best Docker Alternatives

Best Kubernetes Dashboard Alternatives

1. k8dash

So you’ve established your first k8dash cluster. Congratulations! Now, how do you use the device? Deployments, replica sets, stateful sets, pods, and ingress.

Getting Kubernetes up and running might feel like a daunting task in and of itself, but does day two of operations have to be just as difficult? Kubernetes is a fantastic yet complicated system. The learning curve can be challenging.

Furthermore, the official Kubernetes dashboard has limited functionality. An alternative to the Kubernetes dashboard is k8dash, which is highly powerful but only suitable for advanced users.

For many businesses, k8dash is an essential component of Kubernetes operations.

The Indeed Engineering group approved the k8dash project in May of 2020.

Features of k8dash

Quick installation

The k8dash project’s central premise is low operational complexity. As a result, k8dash may be installed fast with a few hundred lines of YAML. K8dash only runs one service. There is no need for databases or caches. This includes AuthN/AuthZ through OIDC.

If you’re already using OIDC to protect your cluster, k8dash makes it simple to extend this to your dashboards: just specify a few environment variables, and you’re good to go. There is no need for any additional authentication proxies or other complex setups.

Cluster visualization and management

K8dash allows you to see the current state of all of your cluster’s moving pieces, including namespaces, nodes, pods, and deployments.

Real-time charts reveal underperforming resources. The user-friendly interface eliminates most of the behind-the-scenes complications and aids in flattening your Kubernetes learning curve.

You may manage your cluster elements from the dashboard and change resources using k8dash’s YAML editor.

K8dash takes advantage of the Kubernetes API and offers context-aware API documentation. With k8dash, you can see pod logs and even SSH straight into a running pod through a terminal right in your browser.

K8dash also interacts with Metrics Server, allowing you to see CPU/RAM use in real-time. This visualization assists you in understanding how effectively your services are performing.

Kubernetes promises greater resource efficiency through bin packing as it lowers the complexity of running hundreds or even thousands of microservices over an abstract compute pool.

Nevertheless, most businesses fail to achieve this promise because it is difficult to determine whether services are over-provisioned. The simple UI of k8dash removes the guesswork from determining how well services are supplied.

Real-time dashboard

You don’t need to refresh websites to monitor the current condition of your cluster because k8dash is a real-time dashboard. Instead, you can see charts, graphs, and tables alter in real-time when you roll out a deployment.

You may monitor the addition and removal of nodes in your cluster and be notified when new nodes become fully operational.

Alternatively, just watch a stream of Kubernetes cluster-wide events as they occur.

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2. Konstellate

This is a user interface for creating, editing, and managing the relationship of Kubernetes resources. Complex YAML may be simply created and exported as Kustomize templates or Helm charts.

You may use the editor to import the YAML you already have or to build resources from one of the templates. Once you’ve established some resources, you may easily link them by dragging a line between them.

Konstellate can search for any possible connections and present you with a list of alternatives. After you’ve created your application, you may clone it in a new workspace and modify it there.

Features of Konstellate

• Warn users if no connection types are available
• Implement Export YAML
• Implement Import Helm + Kustomize
• Update Add/Remove buttons on the editor
• Auto-populate required fields in resource templates
• Add tree view into YAML spec
• Packaging as electron/docker image + local file system sync
• Tie Konstellate into running clusters + kubectl plugin
• Enable GitOps flow

Also Read: GitHub Vs GitLab

3. Kubernator

Kubernator displays all items in your cluster, including custom resource definitions, in a simple, code-focused UI (CRDs). They are categorized according to namespace and object type.

You may change the YAML code, remove the object, and create a new one in the editing area. As seen in the screenshot, the editor is ready to offer suggestions, show modifications, and provide many more capabilities to please any administrator.

This alternative Kubernetes UI also provides a Role Based Access Control (RBAC) viewer, which displays a schema of all roles and bindings. One limitation of Kubernator is that it is a client-side-only application.

It communicates directly with the Kubernetes API. This implies that you can only utilize it by running a kubectl proxy; there is no way to use an ingress.

You can address this on the Helm chart by adding a container with kubectl to the pod and some ingress rules to route the API queries to that container.

Key Features of Kubernator

Navigation Tree

The navigation tree displays the types of items, which are organized by namespaces and the objects themselves.

All API groups are retrieved, resulting in a list of versions and endpoints for each group. Then, Kubernator loads a list of resources for all groups and performances, followed by a list of objects for each known resource. Namespaces groups objects to display the tree.

Extensive Caching

Kubernator makes many API calls; thus, it actively caches their replies in the browser’s local storage to improve loading speeds in subsequent usage, e.g., API groups and Swagger schemas are only refreshed when the cluster is updated.

When the relevant type or namespace is opened, the resources are restored.

Multiple API Versions

Every group retrieves its resources using all API versions, not just the preferred one, and then combines the resources into a single list based on the priority of the versions.

This means that we may access objects using multiple API versions. Furthermore, when a new object is created, an API endpoint is automatically selected depending on the value of the apiVersion field in its description.

Tabs

The names of tabs reflect the position of the current object in the navigation tree (object. namespace object. kind object).

The tab color for new items is green, whereas the tab color for changed and unsubmitted objects is red. Local changes are preserved even if the tab is closed and reopened.

Copying Objects

All extra and read-only fields are automatically removed when an object is cloned, as defined in the associated Swagger scheme.

Actions Bar

Available actions include: opening a new tab and copying the current item; closing all tabs; reloading, saving, or deleting the current object; and switching the currently active tab to the left/right neighbor.

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4. Lens

Lens streamlines Kubernetes cluster management with its integrated development environment (IDE). It serves developers and operators, offering a graphical interface that simplifies real-time management and monitoring tasks.

Features of Lens:

• Multi-Cluster Management: Lens enables the handling of several Kubernetes clusters across different operating systems, including Mac, Windows, and Linux.
• User-Friendly Interface: The graphical console of Lens makes deploying and managing clusters a straightforward process.
• Comprehensive Dashboards: Users get a complete view of their clusters through Lens’ dashboards. These cover crucial aspects like deployments, configurations, and networking.
• Live Metrics: Lens tracks live metrics of clusters, incorporates role-based access, and integrates Kubernetes command line utility within its dashboard.
• Secure Connections: Lens ensures secure, encrypted connections to clusters, simplifying the use of kubeconfigs and navigating complex security setups.
• Collaborative Features: Lens promotes teamwork with features that allow shared views and streamlined cluster access.
• Desktop Kubernetes: Lens brings Kubernetes to your desktop, offering a local cluster experience that’s consistent across different platforms.

Each feature of Lens is crafted to enhance productivity, ensuring that managing Kubernetes clusters is efficient and secure.

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5. Octant AI

Octant AI is a game-changing solution to project cost forecasting that combines the power of AI with a tried-and-true economic model.

What exactly is Octant AI Predict? Octant AI Predict is a proprietary artificial intelligence software solution developed by Endeavour Programme to optimize project results.

Octant AI Predict learns prior project performance from historical data and tailor-made machine learning algorithms to produce more accurate, impartial, and timely forecasts for project management choices.

It delivers dynamic cost and time predictions from project inception through project completion, aligning with the standard project review procedure.

Features of Octant AI

Resource Viewer

Visualize relationships between components in a Kubernetes cluster graphically. To demonstrate workload performance, the state of each object is indicated by color.

Summary View

This highly extensible platform consolidates status and configuration information in a single page derived from the output of various kubectl commands.

Port Forward

For debugging applications, send a local port to a running pod with a single button and port forward numerous pods across namespaces.

Log Stream

View log streams of pod and container activities for troubleshooting and monitoring without having to open numerous terminals.

Label Filter

Workloads may be organized using label filtering for inspecting clusters with many items in a namespace.

Cluster Navigation

Easily switch between namespaces or contexts across clusters. Multiple kubeconfig files can also be used.

Plugin System

Users can utilize a highly flexible plugin system to offer extra functionality through gRPC. Authors of plugins can add components on top of existing views.

Explore: Best Swagger Alternatives

6. Weave Scope

Weave Scope is a Docker and Kubernetes visualization and monitoring solution. Weave scope would be beneficial in analyzing network bottlenecks, debugging CPU use, and resolving memory leaks in microservices-based architecture.

It gives a top-down view of your program and your complete infrastructure, allowing you to detect any problems with your distributed containerized software as it is deployed to a cloud provider in real-time.

Weave Scope is made up of two parts: the app and the probe. The probe’s goal is to determine information about the host on which it is executing. This data is delivered to the app in the form of a report. The software converts probe reports into several visuals (ex. Topologies).

Key Features of Weave Scope

Drill down Views

Scope displays Pods, Replica Sets, Deployments, and associated Services on multiple clusters for a Kubernetes-running program. You can see Processes, Containers, Orchestrators, and Hosts for containerized microservices operating in the cloud.

Real-time Contextual metrics

When you click on a node, you will be sent to a comprehensive panel with other stats about that node. You may dig down from the detailed discussion on processes inside your container to the hosts that your containers operate on.

Troubleshoot / Manage Containers

When you click on a container, pod, or host, the controls pane appears, from which you may pause, restart, stop, and remove without leaving the Scope browser window.

If more debugging is necessary, terminal windows may be created from any container or host, allowing you to interact with your app and run any UNIX command to identify problems.

Search

Weave offers simple operands, allowing you to discover processes that are using a specific amount of memory or nodes that are using an excessive amount of CPU.

Filtering options

Nodes may be filtered by CPU usage and memory consumption to discover containers consuming the most excellent resources quickly.

If you’re running an app in Kubernetes, you may filter it by namespace and container state, which might be running, paused, contained, or uncontained.

Graphic / Table Mode

Views can be shown in both graphic and table modes. Graphical mode is more beneficial when you need a fast visual overview of your software.

Table mode displays data like the resources utilized by processes, containers, and hosts, among other things.

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7. Kubernetes Operational View

The goal of a typical Kubernetes Operational View is straightforward: it offers a unified operational view for many clusters.

If you like, you may also use it for a single cluster. Installation is clear; you may run it in a Docker container and connect using a kubectl proxy, or you can run it within your Kubernetes cluster.

You may use the latter for your test scenario and install it using the official stable helm chart if you want.

CLUSTERS is the primary variable you may want to change. This allows you to define a list of Kubernetes API server URLs separated by commas. Use this to populate the dashboard display with numerous clusters that you have access to.

Keep in mind that the tool is a read only dashboard, so only requires read-only access to the cluster if you install it manually.

Key Features of Kube Ops View Dashboard

Logging

There are several open-source logging programs available. To gather and analyze logs from our containers, we used Graylog, an outstanding logging tool, and Apache Kafka, a messaging system. The containers transmit logs to Kafka, which then forwards them to Graylog for indexing.

Monitoring

When there is a mistake, Kubernetes performs an outstanding job of recovering. Kubernetes will restart pods if they crash for any reason. End users are unlikely to detect an issue when Kubernetes is replicated.

Kubernetes recovery works so effectively that we’ve seen instances when our containers crashed many times a day due to a memory leak, with no one (including us) knowing.

Datastores and Kubernetes

When operating a data store like MongoDB or MySQL, you almost certainly want the data to remain durable. Containers lose data when they restart by default.

This is acceptable for stateless components, but it is not appropriate for a persistent data store. To cope with continuous data, Kubernetes includes the idea of volumes.

Replication issues

In the majority of installations, the data storage is also duplicated. Mongo generally operates in a Replica Set, whereas MySQL may be in primary/replica mode.

This raises a few issues. First and foremost, each node in the data store’s cluster must be backed by a separate volume. Attempting to write to the same disk will result in data corruption.

Cost calculation

When it comes to expenses, there are two sides to the story. An etcd cluster, as well as a master node, are necessary to operate Kubernetes. While these are not inherently expensive components to run, the overhead can be significant in minimal installations.

It’s usually preferable to utilize a hosted solution for these sorts of deployments, such as Google’s Container Service.

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8. Kubernetes Resource Report

Kubernetes Resource Report is software that manages, grows, and maintains multi-container workloads in desired states automatically.

Modern software is increasingly being deployed as fleets of containers, often known as microservices. A complete application may consist of several containers, each of which must interact in specific ways.

The Kubernetes Resource Report displays the monetary amount of possible savings, for example, “You may potentially save 321.99 USD every month by optimizing resource demands and minimizing slack.”

The potential savings are determined by multiplying the cluster costs (the total of all node costs plus any additional configured expenses) by the applicable share per application/team by the number of resource requests.

Features of a Kubernetes Resource Report

Resource utilization

The use of resources is another significant measure of how well your Kubernetes environment is optimized. Ideally, operations teams would like to maximize the percentage of resources utilized by pods as a fraction of total resources available on the cluster.

Cluster Autoscaler

The cluster autoscaler is a free and open-source utility for resizing individual clusters depending on resource requirements and use. When a pod fails to operate on a cluster owing to resource constraints, the cluster autoscaler adds nodes to that cluster. It can also eliminate underused kubernetes nodes.

Horizontal pod autoscaling

This is a Kubernetes feature that automatically uses resource utilization data to add or delete pod replicas from Kubernetes replication controllers.

Replica sets, deployments, and replication controllers are examples of these. HPA scales are based on Kubernetes metrics such as CPU and user-specified metrics.

Vertical pod autoscaling

Vertical pod autoscaling was also recently implemented by Kubernetes (VPA). The vertical pod autoscaler (currently in beta) serves two purposes: it automates reserving pod resources and improving cluster resource usage.

9. Kubevious

Kubevious is open-source software that offers a graphical interface for Kubernetes. Kubevious consolidates all settings essential to the application into a single location.

This saves operators a lot of time by removing the need to search up settings and delve through selectors and labels. Kubevious is compatible with all Kubernetes distributions.

Kubevious is a project management tool that may be utilized at any stage of the project.

Features of a Kubevious

Detect Configuration Errors

Kubernetes adheres to a decoupled idea of configuration. When connecting components, mistakes and errors are all too common.

Kubevious detects a wide range of setup problems, much more like missing ports, label misapplication, etc. The red circle shows the number of mistakes within the subtree.

Validation Rules

Kubevious includes the ability to assist organizations requiring additional rules and built-in checks (such as label mismatch, missing port, misused or overused objects, etc.).

It accomplishes this by allowing Kubernetes operators to set their own rules and enabling businesses to implement DevOps best practices without modifying their existing release procedures.

Identify Blast Radius

Kubernetes configuration is highly reusable. A minor modification can have unintended consequences.

Kubevious detects standard settings and presents additional items that are dependent on them. A single glance is all that is required to recognize the ripple effects of a given modification.

Optimize Resource Usage

Determine how many resources are consumed by each container, pod, deployment, daemonset, namespace, and so on.

Kubevious generates absolute resource request figures and relative use per node, namespace, and cluster as a whole. Determine which apps consume the most resources inside the namespace.

10. Rancher

Rancher is an intuitive interface that offers a single point of contact for all clusters and centralized policy controls and monitoring.

With the press of a button, end users may quickly deploy new clusters. Furthermore, the platform provides users with several advantages such as easy setup of networking and storage drivers, repeatable deployments of bespoke environments, etc.

Again, maintaining and deploying apps is simple—the public catalog contains over 90 popular Docker applications, and Helm is integrated by default.

Rancher has quickly become the platform of choice for running containers in production, with over 60 million downloads and enterprise-class support.

Features of Rancher

• Included Kubernetes Distribution
• Monitoring and Logging
• Connect Containers
• Included Mesos Distribution
• Infrastructure Management
• Docker App Catalog
• Manage Disks
• Deploy Load Balancers
• Included Docker Swarm Distribution

Conclusion

An incredible number of Kubernetes dashboard alternatives are available to assist Kubernetes developers and operators in navigating this new paradigm of container orchestration.

You should consider them in three categories: do they run as Kubernetes, do they test as well as Kubernetes, and do the code in a Kubernetes-aware manner?

All three of these categories can lead you to well-maintained open-source software that will help you become a better YAML herder, just like everyone else.

K8dash checks these three categories and that is why it is our top Kubernetes Dashboard alternative this year.

The post 10 Best Kubernetes Dashboard Alternatives appeared first on Rigorous Themes.

In this guide, we’ll showcase top-tier Shiny dashboard examples that stand out in their ability to deliver a user-friendly experience and powerful analytical capabilities.

These examples not only excel in aesthetics but also in functionality, proving that effective data visualization leads to better decision-making.

Whether you’re looking to improve your current dashboard or seeking inspiration for a new project, these examples will provide the clarity and direction you need.

Also Read: Bad Data Visualization Examples

15 Best Shiny Dashboard Examples

If you’re looking for ideas to inspire your own dashboard creations, here are some high-level Shiny dashboards that can help you get the ball rolling.

1. Non Traffic Citations Analytic Dashboard

This Shiny app dashboard was designed to help the City of Pittsburgh visualize available data on low-level criminal offenses also known as non-traffic citations based on reports by the City of Pittsburgh Police.

These offenses include loitering, retail theft, disorderly conduct, and harassment and the offender is usually issued a citation with a fine, rather than being arrested.

As you can see there are 5,584 non-traffic citations in this data set, and each one contains details like the race, gender, and age of the offender. It also states the particular offense, the neighborhood where the citation was issued, as well as the date and time of issue.

By analyzing the information contained in this dashboard, the City of Pittsburgh can gain insight into how factors like gender, age, and race affect the issuance of non-traffic citations.

They can figure out if some neighborhoods get more non-traffic citations than others and why that’s the case. Also, they can track the time and day of the week when non-traffic citations are more likely to occur.

Finally, this data can help them track the number of citations to determine whether these low-level offenses are remaining the same, decreasing, or increasing over time. All of which will make it easier for the city to effectively combat crime and identify the root causes behind these criminal behaviors.

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2. Sales Overview Dashboard

If you’re looking for a way to collate your sales data and present it in an easy-to-understand format, this Shiny dashboard example is worth considering.

The Shiny app dashboard gives a rundown of the company’s global sales data. A cursory glance at the dashboard tells you the important details about how the company performed sales-wise in the year under review.

It shows the number of items sold, the market share percentage that the company was able to secure, and the profit margin they generated.

Thanks to the dashboard’s clever use of color, you can identify the performance of each KPI based on the contextual color used. Green suggests incredible success, yellow indicates a good result that should be improved upon, while red means the performance in that area was underwhelming.

The sales breakdown per region is also available for viewing, as is the sales data for past years, so you can make a comparison and figure out if the company is growing, stagnating, or losing money.

Related: 15 Best Data Visualization Tools

3. Pro Evolution Soccer Dashboard

This interactive dashboard allows you to choose any football player from the Pro Evolution Soccer game and discover ten players that are most like him.

When you choose a player from the dropdown menu, the dashboard will display details about them such as their height, position, and whether they’re left-footed or right-footed or both.

Also, you’ll get to see a graph for the player highlighting various statistics and abilities like their stamina, speed, dribbling, attacking prowess, kicking power, header, ball-winning, defensive prowess, reflexes, coverage, and more.

In addition, you’ll be shown a list of ten other players who are similar to the selected footballer in terms of playing position and accomplishment.

The shiny app dashboard is a simple and fun way to learn about various soccer players.

4. eCommerce Analytics Dashboard

Do you sell products online? Do you want to know which of the items you stock sells the most? Where do your sales come from? What time do your sales peak?

The eCommerce Analytics dashboard aims to provide answers to these questions. It analyzes your data set and then tells you which product gets the most purchases and which one sells the least based on an hourly, daily, or monthly time frame.

You can use the time span function to check your retail numbers for a given period. Also, you can drill down into your data and analyze the purchasing data of a particular customer to see which products they bought the least or most within a particular period.

If you like, you can extend this Shiny dashboard example to include more functions like sales forecasting and customer segmentation when building your own version.

Worth Reading: Best Tableau Retail Dashboard Examples

5. Health Expenditure Dashboard

You can tell how developed a country is by looking at the state of its healthcare system. In a highly developed nation, the government would dedicate a sizable portion of its annual budget towards ensuring that its citizens can get access to life-saving healthcare.

The increased health expenditure and improved medical system make it possible for the people in that nation to undergo procedures and get the best possible care, which would allow them to live longer lives.

On the contrary, citizens of a less-developed nation may not get access to these amazing healthcare benefits, and their life expectancy could suffer as a result.

This Health Expenditure dashboard uses data drawn from World Bank reports to analyze the correlation between health expenditure per capita and average life expectancy across the world in any given year.

It utilizes colors to represent the different sub-continental regions. To get additional details about specific regions or countries, you can simply hover your mouse over the corresponding data point in the graph.

6. Graduate Employment Dashboard

This is another great example of the level of detail you can infuse into your dashboards with Shiny.

This stunning Graduate Employment Dashboard was designed with the goal of helping young people and students considering studying in Singapore to determine which degree and university would better position them in terms of income and employment when it’s time for job hunting.

It uses datasets from Singapore’s government database to determine the number of graduates leaving each university every year, as well as the employment rate for the various degrees earned.

This data is then analyzed to highlight the employment rate and monthly gross income for a given university or degree. People can see what salary range they can expect to earn depending on where and what they study, so they can make informed decisions about their education and career path.

The dashboard allows you to filter results based on a given year, salary, or employment rate range. You can check out the rankings of universities according to different metrics like employability and the number of graduates.

Thanks to this dashboard, people can find the information they need to make critical life decisions at a glance rather than spending countless hours doing research and constructing comparison tables.

7. Flights Dashboard

Measuring and analyzing performance is an integral part of any business. Without it, you won’t be able to tell whether you’re succeeding or failing at meeting your company goals.

You won’t know which activities or strategies contributed to the results you’re getting, meaning you’ll be unable to replicate it if you wanted to.

This one-page Flights dashboard offers a detailed report on an airline’s operations, which allows the company’s employees to understand how they’ve performed over the months. With the displayed information, they’ll be able to figure out what tweaks need to be made to improve operations.

The dashboard displays important statistics like the number of flights, average flights per day, and percentage of flights delayed at the top of the screen.

Passengers can also take advantage of this dashboard to learn about various airlines and choose the one that works best for them. Since the dashboard includes a section highlighting the top destination airports for the selected airline, people can better plan their travels.

8. Inflation Rate Analytic Dashboard

The inflation rate refers to the rate at which the purchasing power of a currency decreases while the price of products and services is on the rise.

The government and central bank of a country are tasked with reducing the rate of inflation to prevent the economy from declining, ensure that currency’s value doesn’t fall and prevent deflation.

Deflation comes about when the inflation rate goes below zero or becomes negative. This means that there’ll be a drastic drop in the demand for goods and services, and as a result, their prices will decrease. This will be followed by reduced wages, stock crashes, job losses, and recession.

The inflation rate is an issue that affects everyone from individuals to companies, so it’s important to monitor and plan around it.

This Shiny dashboard helps people do just that. It uses publicly available data sets from International Monetary Fund (IMF) reports to visualize the inflation rates of major economies, as well as regional and economic trade unions from 1980 to date.

All you have to do is select a country or region from the list of options and its inflation rate data will be displayed. You can even download the chart as an image, pdf document, text file, or spreadsheet.

9. Transportation Information Dashboard

The Transportation Information Dashboard is designed to give residents of Twin Cities real-time updates about bus transportation routes. However, it could be tweaked to suit other functions.

The dashboard provides transportation data for the entire region. Once a route is selected, the dashboard would display the different trips on that route and the different paths that could be used to reach the end destination.

Results can be filtered based on four directions: northbound, eastbound, southbound, and westbound. Each direction is marked with a specific color on the map and the number of vehicles going that way is also highlighted.

The data can be refreshed at various intervals. It’s not static and it updates every 30 seconds, so riders are guaranteed updated information to enable them to adequately plan their commute.

10. Virtual Patient Dashboard

The Virtual Patient dashboard aims to simplify the fundamentals of Ca-Pi homeostasis for students using interactive case studies.

Instead of them spending weeks combing through textbooks and trying to understand what they’re reading, they can learn and retain knowledge faster and longer with the aid of the dashboard.

The dashboard simulates a patient and presents you with a case study related to the subject so the user can come up with a diagnosis and a proper course of treatment.

To arrive at a diagnosis, they can explore any of the tiles on the dashboard by clicking on it. Once a diagnosis is established, they’ll be offered various treatment options which they can select from.

The main dashboard highlights the patient’s personal information and medical history, complete with test results and a litany of symptoms.

The dashboard is stunningly detailed and easy to navigate with a great-looking interface. It’s a testament to the amount and level of data you can visualize if you simply imagine it and dare to build it.

11. Conference Tweets Dashboard

Social media is one of the most effective ways to keep your finger on the pulse and monitor what people are saying about your organization or brand in real-time.

However, it’s not possible for you to manually track and shift through every post that relates to you, especially when you’re working with a large volume of users and posts.

This Conference Tweets dashboard provides an easy solution to this problem. It allows you to track tweets about specific events or conferences. You can use it to explore tweets that contain an event hashtag and even create leaderboards for the top posts.

This way, you can follow online conversations that you’re interested in as they happen, or go back in time and dig up the tweets you might have missed to get a real sense of people’s thoughts and feedback about the conference.

The dashboard displays the number of tweets sent using the relevant keywords or hashtags each day, the number of tweeters, and the frequency of the posts.

It also tells you which of the tweets got the most likes and retweets so you can take advantage of the high engagement levels to promote your brand, leave comments, answer questions, or thank your audience.

12. Nutrition Calculator Dashboard

If you’re a health nut or you’ve ever tried to gain or lose weight, you know how frustrating it can be to keep track of your calorie intake and make sure you’re getting all the vital nutrients your body requires.

Well, that is exactly the problem that the designers of this Nutrition Calculator dashboard sought to solve. The interactive dashboard enables you to search and add various ingredients from the Canadian Nutrient File database.

You can then calculate the general nutrient data of the ingredients like their caloric value or the amount of fat or sodium present in it. The dashboard highlights the nutrient amount of the specified ingredients as percentage recommended daily values.

There are separate bar graphs for vitamins, macronutrients, and minerals serving as visual representations of the recommended daily percentage value.

It also showcases nutrient amounts and calorie counts that exceed 50% and 100% of the recommended daily value at the top so you can readjust your meal plan and recipes accordingly to generate healthier outcomes.

13. Trade Intelligence Dashboard

If you’re looking for an example of Shiny dashboards to draw inspiration from, this Trade Intelligence dashboard should do the trick.

It was developed from data sets generated by New Zealand’s Ministry of Business, Innovation, and Employment. The goal of the dashboard is to gain insights into the nation’s trading profile by visualizing relevant trade data through the use of interactive tables and graphs.

All the data represented in the dashboard is downloadable. It allows users to select and create reports for various markets, commodities, services, or free trade agreements that they’re interested in.

The dashboard highlights the volume of imports, exports, and the corresponding balances for goods, services, and trades. It then measures and displays the country’s long, medium, and short-term growth over 20 years.

A scroll down the dashboard reveals additional information like New Zealand’s top trading partners, existing free trade agreements, and key import and export markets for services and goods. It also shows the key commodities and services that the country imports and exports.

Using the dashboard, it’s easy to understand where the country stands in terms of trade and what can be done to boost its trade profile even further.

Although this Shiny dashboard was created with New Zealand in mind, it can easily be adjusted to produce and analyze trade intelligence for other nations and states.

The dashboard prioritizes its users’ experience throughout its design, so the interface is intuitive, easy-to-navigate, and simple enough to be understood by any random person. It’s responsive so it loads and works perfectly well on both mobile and desktop devices.

14. Pandemic Monitoring Dashboard

In late 2019, the world as we knew it was irrevocably changed when outbreaks of severe respiratory infection by a new strain of coronavirus were reported across Wuhan, China.

A few weeks later, the virus, now named COVID-19 had spread to other countries and was rapidly infecting and killing people in droves. It became important to map the spread of the virus, monitor how far it was spreading, and get a better understanding of the growing pandemic.

The pandemic monitoring dashboard was built for these purposes. It tracked the outbreak of COVID-19 in real-time, mapped the regions that had been affected, as well as the number of new and cumulative reported cases and deaths.

This r shiny dashboard made it possible to visualize the evolution of the pandemic and the overwhelming amount of data available on the virus at a global level. Armed with this information, people could understand if the efforts to control the spread of COVID-19 were working.

A visual comparison could be drawn between the coronavirus and other epidemics to support epidemiological studies and scientific research.

Also, the valuable insights generated from the dashboard helped institutions, governments, and the society at large to present more effective responses to address the pandemic.

15. Genome Browser

The Genome Browser dashboard is a R Shiny dashboard tailored for genomics and bioinformatics experts.

It provides a visualization based on Circos, which is a way of visualizing whole genomes.

By leveraging pancreatic adenocarcinoma tumor samples from various donors, provided by ICGN, this tool is especially valuable for those with a deep understanding of genomics.

It turns intricate datasets into clear, actionable visualizations.

Conclusion

In closing, these interactive Shiny dashboards represent the pinnacle of user-friendly design and analytical depth.

These Shiny apps prove invaluable for data-driven decision-making.

Each one is crafted to provide insights with clarity and precision, serving as a benchmark for what you can achieve with effective data visualization.

Whether for enhancing your current dashboard or sparking ideas for a new project, these examples are a resource that can drive your data storytelling to new heights.

The post 15 Best Shiny Dashboard Examples appeared first on Rigorous Themes.

If you don’t track your sales, leads, and conversion rates, you will have no way of knowing whether you are reaching your goals and what you can do to improve your success.

Data analytics software will allow you to understand what is going on in your business, where you are succeeding, where you are failing, how you are failing, and what you can do to improve.

Qlikview is a data analytics & business intelligence solution that helps you analyze your company’s performance.

In this post, you will discover examples of the best Qlikview dashboards types to use. 

Explore: Best Tableau Courses

Best Qlikview Dashboard Examples

1. Healthcare Dashboard

The Healthcare QlikView Dashboard serves as a vital tool for medical professionals seeking streamlined data analysis.

It provides a quick, comprehensive view of patient statistics, staff performance, and operational efficiency.

This dashboard not only saves time but also enhances patient care by allowing for rapid, informed decisions.

It’s designed for ease of use, ensuring that healthcare workers can focus on what matters most—patient outcomes. With its interactive features, users can sift through vast amounts of data for insights into treatment efficacy, resource allocation, and more.

Such a tool is essential in modern healthcare settings, offering a clear window into the facility’s pulse, empowering staff to elevate care quality with data-driven actions.

2. HelpDesk Management

This dashboard is great for those managing a customer support team. It allows you to view which tickets are not being resolved yet and which high-priority tickets need to be responded to. 

You will be able to see how many open cases have not been resolved, how many new cases there are, and how long it is taking to resolve tickets, on average, based on department. 

In addition, it will show you which IT resources are dealing with the most requests and what kind of request types (such as General IT Support vs. a Software Request) are more common.  

When looking at open cases, you will be able to see what types of requests are more likely to be open and how different departments compare to each other in terms of open cases. 

Some departments, for example, may have a lot of open cases because they are not doing a good job in resolving those cases, either due to being inefficient or due to not having accurate knowledge. 

Digging a bit deeper, you can see an overview of the open cases in terms of age. 

For example, if a lot of open cases are over a month old, you may want to figure out what kind of cases are more likely to remain open over a long period of time.

This will allow you to figure out how to resolve those types of cases quicker so that your customers and clients are satisfied. 

Digging even further, you can view which resources or customer support representatives are dealing with the most cases based on priority.

For example, you will be able to see which IT resources are dealing with a lot of high-priority cases and which are dealing with a lot of low-priority cases.  

You can see visual graphs of case distribution based on resources and other helpful charts and graphs. 

Under Case Details, you can see exactly what the details of each case are.

For example, you will be able to see which client opened the ticket, what their issue was, when they opened the ticket, the status of the ticket (open/resolved), when the ticket was resolved, and so on. 

This can allow you to step in and take control of a case by resolving it yourself if your employees are not able to do it themselves. 

3. Human Resources Dashboard

The Human Resources dashboard lets you get an overview of your employees and their performance levels. For example, you can see the employee turnover rate, new hires, salaries, terminations, and much more. 

If you are looking for places to build your new offices, look on the map to see where your employees are located.

When looking at the geographical map, you can set filters to see employees based on things such as gender, employee level (first-line management vs. senior management, for example), and division (such as IT support vs. operations). 

The central dashboard will show you the turnover rate of the current year vs. the previous year, the hire rate of this year vs. the previous year, the retirement of this year vs. the previous year, and various other metrics.

This can help you see whether your business is losing employees and what you can do about it. 

The Breakdown section will break down the data about your employees. For example, you will be able to see a pie chart breaking down the gender of your employees, a graph showing age ranges, headcounts for each division, and more. 

As before, you will be able to filter based on level, division, and business area. 

You can dig further in the Hires and Terminations section, where you will see a breakdown of hires and termination based on division and gender. In the Absence and Overtime section, you will see a breakdown of absences and overtime work. 

The Employee Profile section lets you pick any employee from any division and see their complete profile. This includes their age, gender, phone number, years employed, annual salary, termination reason (if applicable), manager, and much more. 

All in all, the HR dashboard is the perfect dashboard for HR management as it gives you a complete overview of your team. 

4. Retail Sales Dashboard

The Retail Sales QlikView Dashboard is a powerhouse for retailers looking to sharpen their sales strategies. This tool breaks down sales data into digestible, actionable insights.

Retail managers can track performance across various metrics, such as daily sales, inventory levels, and customer preferences, all in real time.

This dashboard does more than just compile figures; it helps pinpoint which products are flying off the shelves and which ones are lagging. It enables quick, data-driven decisions on promotions, stock replenishment, and pricing strategies.

The dashboard’s straightforward design makes it accessible for users at all levels, ensuring that the whole team can capitalize on the data to drive sales and improve customer satisfaction.

With the Retail Sales QlikView Dashboard, retailers have a clear path to boosting their bottom line.

5. Salesforce CRM Dashboard

If you work with Salesforce, you can view all of your Salesforce CRM data straight from your Qlikview dashboard. In the central dashboard, you will see all of your main information, while you can break down specific data areas in more specific dashboard views. 

For example, you can analyze your accounts, see which countries have the most accounts, and analyze your top products and product demand trends. 

You can also analyze the performance of your sales reps. Different graphs will help you determine which sales reps are the best performing and which are bringing in the best results. 

All in all, if you use Salesforce, Qlikview is a great way to visually view your data in a clear, easy to understand manner. 

6. Expense Management

This is a good dashboard to use if you want to explore how your company is managing its finances, where your money is going, and how you are meeting your budget. 

The benefit of using this dashboard over a standard application is that you can drill even further into where your money is going, which unexpected expenses are adding up to cut into your budget, and how your employees are spending your money. 

The central dashboard details your total spend over the past year and the past quarter, and it will tell you if you went over your set budget.

It will also show you spending by category (such as travel) and whether you exceeded your budget for each category, spending by department, and spending per employee. 

The Expense Breakdown section gives you pie charts and graphs to help you quickly see how much of your spending is going to different expenditures and which employees or departments are spending the most. 

You can also go to the Employee Expense section to see spending by individual employees so you can see which employees are overspending and plug those gaps. 

Related: 20 Business Intelligence Dashboard Examples

7. Executive Dashboard

The Executive QlikView Dashboard stands as a command center for leaders seeking a bird’s-eye view of their organization’s key performance indicators (KPIs).

Tailored for decision-makers, it consolidates critical data into an intuitive interface. This dashboard enables executives to monitor key metrics with precision, from sales figures to operational metrics, ensuring they’re always a step ahead.

With this tool, leaders can swiftly identify trends, make informed decisions, and set strategic directions.

It strips away the complexity of data analysis, allowing for a focus on insights that drive business growth.

The Executive QlikView Dashboard isn’t just about viewing data; it’s about understanding it at a glance, making it an indispensable tool for any savvy executive.

Related: 11 Best Tableau Retail Dashboard Examples

8. Marketing 360 Dashboard

The Marketing 360 QlikView Dashboard delivers a comprehensive, real-time view into every facet of a marketing campaign. It’s crafted to distill complex data into actionable insights.

Marketers can swiftly gauge campaign performance, track spending, and understand consumer behavior.

This dashboard takes the guesswork out of marketing strategies, providing a clear path to return on investment.

Its dynamic interface lets you drill down into demographics, click-through rates, and conversion metrics with ease.

This isn’t just about tracking numbers; it’s about painting a full picture of marketing efficacy. With the Marketing 360 QlikView Dashboard, teams can fine-tune their efforts, optimize budgets, and propel their brand forward with confidence.

Explore: 15 Best SAS Dashboard Examples

9. Financial Analysis Dashboard

The Financial Analysis QlikView Dashboard is a powerhouse tool designed for financial professionals who need to cut through the noise and zero in on the numbers that matter.

This dashboard provides instant access to financial health indicators, from cash flow trends to revenue breakdowns.

With its intuitive design, users can navigate through complex financial data, spot financial opportunities, and pinpoint areas of concern in a flash.

It’s all about making financial analysis more efficient, allowing users to deliver sharper insights and quicker, data-driven decisions.

Whether it’s tracking expenditures or forecasting profitability, this dashboard translates data into a clear financial narrative, giving professionals the clarity and confidence they need to steer their organization’s financial course.

Explore: 15 Best Power BI Sales Dashboard Examples

10. Overall Equipment Efficiency Dashboard

The Overall Equipment Efficiency (OEE) QlikView Dashboard offers a clear, straightforward snapshot of manufacturing productivity.

It’s engineered for managers to track equipment performance, availability, and quality in one unified view.

This dashboard simplifies the complexity of production data, enabling a swift analysis of efficiency drivers and bottlenecks.

By focusing on OEE, the tool aids in pinpointing areas for improvement, minimizing downtime, and boosting throughput.

With this dashboard, maintaining peak operational efficiency becomes more manageable. Users can quickly identify trends, make adjustments on the fly, and ensure that production targets are met.

It’s not just about observing data—it’s about actively improving the production floor’s effectiveness every day.

Wrapping It Up

As we conclude, our exploration of the 10 best QlikView dashboard examples showcases the versatility and power of data visualization.

Each QlikView dashboard example stands as a testament to the clarity and efficiency that QlikView brings to data-driven environments.

From enhancing operational workflows to sharpening marketing strategies, these modern dashboards allow users to harness data with precision.

They are not just tools; they are roadmaps to better business outcomes, providing the insights necessary to drive decision-making and foster growth.

Armed with these examples, any organization can begin to transform its sea of data into actionable intelligence, pushing the boundaries of what’s possible with informed, data-backed decisions.

Choose the dashboard that aligns with your business needs and step into a world of clearer insights and smarter business strategies.

The post 10 Best Qlikview Dashboard Examples appeared first on Rigorous Themes.

In this guide, we dive deep into 14 of the best Splunk dashboard examples that cater to diverse needs and industries.

Each dashboard showcases unique features and capabilities, providing clear insights and facilitating efficient data analysis.

From monitoring network activities and managing IT operations to optimizing eCommerce platforms and tracking digital marketing campaigns, these examples cover it all.

Equip yourself with this knowledge, and you’ll find creating and utilizing Splunk dashboards becomes a more streamlined and impactful process.

Dive in and explore how these Splunk dashboards can elevate your data management and analysis practices to new heights.

What Makes an Effective Splunk Dashboard?

Splunk is one of the commonly used data platforms with plenty of dashboard options and customization support. You can create three kinds of dashboards with the software.

• Dynamic form-based dashboards – allow you to modify dashboard data based on values in input fields. Changes in the input field reflect in the visible data on the dashboard.
• Real-time Dashboards – used for constant viewing and best on large screens. Has alerts and indicators to prompt swift response by relevant personnel.
• Scheduled Dashboards – are downloadable as a PDF file report and shareable at set intervals with team members. The actual live dashboard may have limited viewing access.

Whatever kind of dashboard you create with Splunk, it should possess a couple of qualities to be effective. An effective Splunk dashboard should –

1. Have Single Screen View: Information on a dashboard should be accessible at a glance with no scrolling necessary. Use tabs to create secondary dashboards for focus data points.
2. Have Meaning Description: A dashboard should be understandable by the intended reader. It should have category descriptions and flow designs that are meaningful to the user.
3. Load Quickly: The goal of a dashboard is to aid the quick and efficient extraction of information for actionable insight. An effective dashboard should return results swiftly, ideally ten seconds or less.
4. Contain Multiple Data Points: Understanding the relationship between different data points and overall performance is key to making intelligent decisions. Multiple data points on a dashboard are crucial to having a complete narrative picture of operational status.
5. Highlight Key Information: The most important information should take centerstage with conditional formatting. Use markers, legends, labels to highlight key details.
6. Avoid Redundancy: A good dashboard makes efficient use of space. It does not repeat the same details. The display captures every data point in one clear, understandable attempt.

15 Best Splunk Dashboard Examples

Now that you know what makes a good Splunk dashboard, here are fifteen examples you can use as inspiration for your project.

1. Remote Work Insight – Executive Dashboard

This Splunk dashboard is a simple aggregation of all the relevant information when it comes to remote work.

It covers VPN, with data points like the number of VPN logins and active VPN sessions. Zoom, which has quickly become a significant enabler of remote working, also features prominently.

Executives can see how much cohesiveness their team is building through video conference meetings.

There is a visualization tab to drill down into the Zoom data with data points such as the average duration of meetings and meeting types. The dashboard also has a nice map visual for a more in-depth look at the workforce at a particular location.

This dashboard is from a dedicated app by Splunk. However, you can always create a similarly styled one and incorporate other key information, such as a distribution chart of the team’s productivity hours.

2. Security Analytics Dashboard

If your business depends on 24/7-hour uptime, it is a good idea to have an overview of your security infrastructure. Using Splunk’s Enterprise Security solution, you can build this dashboard that provides a detailed look at the kind of threats your system has faced over time.

While cybersecurity experts should ideally oversee your security, this easy-to-understand dashboard is helpful as a business manager. For instance, the Threat Activity Over Time data point offers insight into when attacks are likely to happen.

Using this information, you can assign additional help to fortify your system during this period.

It also contains a simple XML table detailing the types of threats and where they are coming from. This information reveals possible weak points in your infrastructure that need beefing up.

The dashboard’s information is presented in a friendly, clean, understandable design, with the most critical details taking formatting precedence. It is also dynamic form-based, with input fields that show deeper details into threat subgroups and categories.

3. Patient Treatment Flow Dashboard

This treatment flow dashboard works best as a scheduled dashboard to track the life cycle of a patient’s journey in a hospital.

The design aligns with its purpose, starting on the left with the number of patients in the hospital, the process and type of diagnostic care administered, to their eventual exit.

It is readable, and each data point is color-coded, giving them a distinctive look. More importantly, each one is succinctly and well-described, with single interpretable values. It makes it valuable as a reporting tool for the intended reader, even if they have zero analytics experience.

Also, the dashboard does a remarkable job of keeping the visual focused on the purpose of the analyzed dataset-to determine if the hospital’s capacity and resources are being used efficiently. The horizontal bar chart, Percentage of Hospital Capacity Filled, best illustrates this.

It also gets stylistic points for the arrow design that highlights the title of the section below and the reading direction of the data.

Also Read: Bad Data Visualization Examples

4. eCommerce Website Monitoring Dashboard

An eCommerce website requires constant attention and rapid response to maintain its optimal performance, making a Splunk dashboard an indispensable tool.

By integrating this dashboard, you immediately gain access to real-time data and insights about your website’s health and performance.

It contains eight data points in total, including –

• Website performance metrics
• Account management and customer logins
• Application incident management (issues encountered and how often its resolved)
• Unique Visitors

It uses the best visualization style for each data point, giving it an intuitive feel.

Also, excellent use of space allows this dashboard to pack a large amount of information without looking crowded. Lastly, the consistent use of cool colors gives it a temperate look, avoiding visual assault from color clashes.

However, this example is ideal as a real-time dashboard due to the multiple data points, which are more easily viewable on a large screen.

Secondly, the design works better with constantly changing data, as shown by using the time-based panels, Currently Running Process, Account Management, and Customer Logins.

5. Gaming App User Statistics Dashboard

Are you a game developer? Would you like to know how your users are engaging with your creation? See how much time they spend playing the game? This Splunk dashboard provides those answers and more.

It takes your data set and dives into its historical records, revealing how the user base and engagement levels have changed year on year. It lets you measure a user’s interest in the game with the number of times they play within a period.

Additional data points like Single Game Users and Multi-Game Users also provide insights into how users prefer to play. Do they prefer playing alone or with friends?

Furthermore, the dashboard tracks user performance, allowing you to pinpoint creative choices that may be fuelling interest or disinterest in the game.

Finally, this Splunk Dashboard example juxtaposes the performance and user data, giving you a clear view of how both categories influence each other.

Interesting Read: Misleading Data Visualization Examples

6. Exercise Tracking Dashboard

Splunk is renowned for its enterprise uses, but it suits individual tracking and analysis too if you can afford it. In the case of this dashboard, it has been used as a personal exercise tracking tool across three categories – running, biking, and swimming.

At the foot of the dashboard is a table with detailed records of each exercise. The date and time it was performed, name of the activity, duration, mileage, and contextual notes.

The dashboard comes to life in the middle section with a vertical grouped bar chart comparing the exercises on each day. It is color-coded, which makes it easy to understand. The bar chart also has a chart overlay indicator that shows the progression over time.

Although simple-looking, the dashboard is flexible, with status indicators providing context to the single values. It also has input fields to filter for the duration, time range, distance, timespan, and activity.

7. Runner Data Dashboard

This Runner Data Dashboard is another great example of the practical application of Splunk dashboards.

In long-distance racing, there is an increased health risk that could prove fatal. That is why it is vital to keep track of every relevant metric on each runner. In this case, the dashboard tracks the heart rate, body temperature, and live pace.

Without proper context, though, fluctuations between those metrics can be misleading, hence, the pairing against weather and topographical data. By doing so, viewers can see how the change in weather or location feeds into significant changes in the runner’s metrics.

The dashboard uses tables to categorize each user, and individual metrics have dynamic colors for safety performance. Green means safe, Orange warning signs, while Red means danger zone.

As is, the dashboard is effective. But when creating your own, you could add additional elements like an alert or notification to boost its responsiveness to danger.

Explore: Best Data Lineage Tools

8. COVID-19 Monitoring Dashboard

COVID-19’s time as a global pandemic is over now. However, data analysts and investigators can still use this coronavirus-inspired Splunk dashboard to track the global phenomenon.

It could be used by businesses to track the popularity of a product or service. Marketers can also use it to observe the market metrics like fanbase distribution of an artist or piece of art.

One of the good things about this example is that it can be any type of dashboard. It can be dynamic form-based, real-time, or scheduled.

It also combines different visualization styles (tables, maps, histograms) to create an informative picture on top of layered data points.

Thanks to these qualities, the dashboard was of immense help to experts, journalists, and the public to track the pandemic in real-time. It helped millions identify countries that needed immediate attention and those whose control efforts had yielded positive fruits to replicate their methods.

The benefits can also be of immense advantage to businesses and creative projects hoping to stay on top of the narrative.

9. Homelab Monitoring Dashboard

A homelab is a system removed from the ‘real world,’ where you can experiment without causing any lasting damage to corporate income or equipment. You can think of it as a science laboratory, but for technology.

There are different kinds of homelabs, and they contain different types of devices. However, users of any can benefit from creating this type of Splunk dashboard. It provides a detailed overview of various aspects of the homelab.

In this Splunk dashboard example, these include the backup status, amount of leftover storage space, network performance, and battery status. It also has secondary dashboards in different tabs that provide even more detailed insight into the Power and Storage state of the homelab.

With it, you always have control over the homelab, wherever you are. You can troubleshoot and make knowledgeable recommendations when necessary from a distance.

Check Out: Best Tableau Courses

10. Website Analytics Dashboard

Whether you are a fan or not, website analytics is a critical aspect of site management. You need it to track your website’s content quality and technical performance to rank higher on search engines.

Google and Bing have their handy analytics tool. But their personalization qualities are not as robust as using a Splunk Website Analytics dashboard – more specifically, the Splunk App for Web Analytics, a dedicated tool built for this purpose.

With it, you can create a dynamic form-based dashboard with a line graph, displaying your page views over time. You can input fields to compare pageviews from different periods and measure the changes in visits to your website.

The dashboard includes additional information that can help you figure out improvements for your website. It contains data points like sessions, average time on page, and bounce rate.

What’s more, you can use input field options like time period, site, and dimension to get into the nitty-gritty of each data point. You could track pageviews by Browser dimension to discover the browsers used by site visitors.

11. App Purchase Dashboard

If you have multiple products or services, it is essential to know which one of them is driving revenue the most. Understanding the product your customer wants more informs how you allocate capital and other resources to maintain or improve its quality.

This App Purchase dashboard for Buttercup Games shows the number of purchases for each game category. There is a small graph visualizing the purchase trend. It shows if a category’s total purchase value is an increase or decrease on previous trends.

The informative yet straightforward dashboard contains a pie chart that shows the contributing share of a category to the game company’s revenue. There is also a filter option to analyze the changes in this value over a time range.

Also, a dashboard panel with a grouped vertical bar chart analyzes purchases in relation to other milestones in the conversion funnel.

You can observe the effectiveness of each game category based on the investment in marketing and other measurable metrics.

In essence, effective dashboards like this provide a comprehensive view of your product performance.

Related: 10 Best Open Source Data Analytics Tools

12. Real-Time Business Analytics Dashboard

There are so many parts to running a successful business. It is almost impossible for all of them to work efficiently at all times.

Since you can fix only so much, your optimization efforts are better spent on parts that directly affect revenue and improve customer satisfaction.

But how do you extract insight from both aspects of customer behavior? By using this Splunk Business Analytics Dashboard. It expertly combines revenue analysis with customer experience in real-time to track how one affects the other.

The top panel in the revenue section shows single values of revenue vs. cost. Under it is a panel with different sub-tabs that provide a location and product-based in-depth look at revenue and cost drivers.

On the other side, you can track customer sentiment about your brand and the performance of your customer support team. From here, you can see which region is suffering from a decline in revenue from patronage due to increased support calls.

The dashboard is a valuable reporting tool for businesses with customer satisfaction at the cornerstone of their model.

Related: 20 Business Intelligence Dashboard Examples

13. Incident Report Dashboard

Either through buggy updates or poorly-designed system tools, downtimes are part of operating an online business. Unfortunately, during downtimes, a business loses money through lost potential revenue or unplanned paid work hours.

This Incident Report Dashboard is a way for managers to observe the health of their online infrastructure in relation to business needs. The essential details, the number of incidents, and the downtime cost are big and bold and at the viewer’s direct eye line.

Also, viewers can filter the values shown in this panel through different input fields at the top of the board. With this, managers and engineers can identify the most significant cause of downtime along with their financial impact.

It also shows the resultant unscheduled work time to determine if your engineers are devoting enough attention to fix the problem.

The pie charts at the bottom provide additional information on the causes of incidents. A business can improve its incident response time by combining analysis from both sections and prevent burnout.

Related: 15 Best Data Visualization Tools

14. Booking and Reservations Dashboard

The last Splunk dashboard example on this list is a blend of static and real-time data for hotel bookings and reservations. It uses advanced indicators, choropleth charts, and combo charts to contrast the customer experience on the hotel’s website.

As always, the main numbers are at the top of the dashboard. The first two sections of the dashboard panel contain measurable customer metrics like bookings and reservation numbers. The metrics with influence on those numbers, errors, and response time are in the last two sections.

The second dashboard panel digs further into those numbers. The Booking Conversion section uses a composite bar chart to contrast completed bookings with reservations.

The dashboard uses a basic bar chart and a trend line overlay in the Traffic and Performance section to communicate the relationship between traffic and response time.

Lastly, it uses choropleth charts to create location-based analysis into bookings and website traffic.

With this dashboard, a hotel manager can accurately determine how to boost bookings, especially in areas with high traffic but low booking conversions.

Explore: 15 Best Open Source ETL Tools

Best Splunk Dashboards – Wrapping it Up

In summing up, these 14 Splunk dashboard examples serve as powerful tools for a wide array of applications.

They provide valuable insights, showcase user behavior, and highlight potential issues in real-time. Whether managing a complex IT infrastructure, overseeing a digital marketing campaign, or running an eCommerce platform, these dashboards stand as indispensable resources.

They simplify data analysis, improve decision-making, and enhance overall performance.

By embracing these examples, you equip yourself with the knowledge to create tailored solutions, ensuring you make the most out of your Splunk investment.

So, leverage these dashboards to their fullest potential and watch as they transform your data management practices, driving efficiency and success across your operations.

The post 14 Best Splunk Dashboard Examples appeared first on Rigorous Themes.

1. Tableau For Beginners – Get QA Certified, Grow Your Career (Udemy)

First on our list is Tableau for Beginners, created specifically for those that want to take the Tableau Qualified Associate Certification exam.

The course begins with the fundamentals of data visualization and discovery,  and delves deeper into more advanced topics. Also, this course encourages users to not only watch the videos but also apply what they learn on the Tableau software.

This course also focuses on graphing, pivoting, slicing, filtering, and sorting using Tableau Public, a free version of the software.

It also sheds light on how you can combine multiple data sources, create calculated fields with conditional logic, use publicly available data in creating relevant visualizations, and create forecasts using prediction intervals.

This course is delivered in English via an on-demand video, with captions in English and Polish. It also comes with 46 articles and 18 downloadable resources.

The average study time for this course is 6 hours, 23 minutes.

Also, the course includes access on TV and mobile, as well as a certification of completion. It also includes two full-length practice exams for those interested in the Tableau Desktop Certified Associate exam.

The course also gives you access to three full-length Tableau Certified Associate Certifications.

This courses’ instructor, Lukas Halim, is an analytics expert. He also teaches two courses on Udemy, with over 41,000 students.

What you will learn

This course will teach you the fundamentals of data discovery and data visualization using Tableau. It also teaches you how to:

• Combine data with unions, blends, and joins
• Aggregate with counts, max, min, average, and sum
• Create new fields with calculations
• Show locations using geographic maps
• Create line charts, bar charts, and tables
• Group, filter, and sort your data

This course covers topics like:

1. Introduction to Tableau
2. Interface changes for Tableau
3. THE Data
4. Field and chart types
5. Mapping
6. Organizing and simplifying data
7. Calculations
8. Level of detail expressions
9. Data connections
10. Tableau Dashboards

Pricing

The price for a single, one-time purchase of this course is $39.99. It also comes with a 30-day money-back guarantee and full lifetime access to the course.

Note that prices for this course can change over time. Kindly refer to their pricing page for more information.

Requirements

This course is beginner-level, and learners should be familiar with Excel, although it is not compulsory.

Also, students should have access to a Windows or Mac computer. The course will put you through how to download and install the Tableau software.

Worth Reading: Best Tableau Retail Dashboard Examples

2. Tableau A-Z: Hands-On Tableau Training For Data Science (Udemy)

This course uses Tableau for a better understanding and grasp of data visualization. You also have some form of freedom with this course since each module is independent of the other.

The course takes you through Tableau basics and gradually moves into advanced data prep and visualization. You also learn about the features in Tableau that let you present, prepare, fix, experiment with, and explore data easily.

Even more, this course shows you how to create bar charts, area charts, maps, scatterplots, pie charts, treemaps, dashboards, and storylines. Plus, it teaches you how to create data extracts, table calculations, calculated fields in a blend, and data hierarchies in Tableau. You also learn how to add actions like filters and highlighting to dashboards.

Additionally, the course is delivered in English via on-demand videos and captions in English, French, German, Italian, Polish, Portuguese, and Spanish.

Also, the average study time for this course is 8 hours, 22 minutes.

The course includes 78 lectures, six articles, access on mobile and TV, and a certificate of completion.

The author of this course, Kirill Eremenko, is a Data Science management consultant. Also, the course was created in collaboration with the SuperDataScience team and had about 202,303 enrolled students.

What you will learn

You’ll learn data visualization through Tableau and how to identify data patterns like production bottlenecks or sales trends.

Topics covered in this course include:

• Tableau basics
• Time series, aggregation, and filters
• Maps, scatterplots, and your first dashboard
• Joining and blending data
• Table calculations, advanced dashboards, and storytelling
• Advanced data preparation
• Clusters, custom territories, and design features

Pricing

The price for a single, one-time purchase of this course is $139.99. Plus, it comes with a 30-day money-back guarantee and full lifetime access to the course.

Prices for this course can change over time. Kindly visit their pricing page for more information.

Requirements

This course has a simple structure and all that is needed is a basic knowledge of computers.

Related: 15 Best Power BI Dashboard Examples

3. Tableau 20 Advanced Training: Master Tableau In Data Science (Udemy)

Next on the list is this intermediate-level course. If you’re a beginner, you might not want to start with this.

The course teaches you how to solve real-life analytical problems. Plus, you get hands-on training on mining and visualization by solving multiple complex problems.

More so, the course helps you understand the difference between sets and groups. You also learn how to create and use groups, static sets, and dynamic sets.

Even more, it demonstrates how you can implement advanced mapping techniques, Level of Details (LOD), use and write quick table calculations, and create intuitive dashboards.

Each module of this course is independent. Hence, you don’t need to have gone through the previous one to start with the next.

Also, the course is delivered in English, with captions in English, Italian, Polish, and Portuguese.

The average study time for this course is 9 hours, 50 minutes. Plus, the course includes 74 lectures, exercises, five articles, access on TV and mobile, and a certificate of completion.

The course is created by Kirill Eremenko and the SuperDataScience team, who teach 112 and 97 courses respectively on Udemy. Also, about 61,194 learners have enrolled for this course.

What you will learn

In this course, you will learn how to use Sets and Groups to improve your work efficiency. Also, the course teaches you Table calculations and you can use their skill for data analysis.

You will also learn how to perform data mining and analytics and create animations in Tableau.

Key topics discussed in this course include the following;

1. Groups and Sets
2. Advanced table calculations
3. Advanced data prep and analytics in Tableau
4. Creating animations in Tableau
5. Level of detail calculations
6. Advanced mapping techniques

Pricing

The price for a single, one-time purchase of this course is $139.99. Plus, it comes with a 30-day money-back guarantee and full lifetime access to the course.

Note that prices for this course can change over time. Kindly refer to their pricing page for more information.

Requirements

This course is for intermediate learners. You need to have completed the basic course titled Tableau A-Z: Hands-On Tableau Training For Data Science, Also, Tableau Public or Tableau Desktop needs to have been installed.

Related: 15 Best Grafana Dashboard Examples

4. Tableau, 19, 18 & 10: Certified Associate Certification (Udemy)

This course helps you prepare for the Tableau certification course. The course focuses on the creation of dashboards, charts, maps, storyboards, and more.

The difficulty of each lesson in this course increases gradually, allowing you to easily follow along.

Additionally, the course equips you with knowledge of how to use advanced Tableau features like hierarchies, parameters, and calculated fields.

More so, it teaches learners how to format dates and numbers, and add animation, tooltips, and labels. Also, the course focuses on creating analyses like geographic analyses, stacked bar charts, and line charts.

The course delivery is in English via on-demand videos and captions in English, French, Italian, and Spanish.

Also, the average study time for this course is 13 hours, 3 minutes. More so, the course includes 18 articles, four downloadable resources, access on mobile and TV, and a certificate of completion.

The course instructor is a computer consultant and teaches 29 courses on Udemy. Also, over 18,000 learners have enrolled in this course.

What you will learn

This course focuses on the requirements for Desktop specialist or Certificate Associate certifications.

Key topics touched in this course include:

• Creating visualizations
• Developing the marks card
• Dashboards
• Maps
• Field and chart types
• Gantt bar charts, calculations, and data analytics
• Level of detail calculations

Pricing

The price for a single, one-time purchase of this course is $149.99. It also comes with a 30-day money-back guarantee and full lifetime access to the course.

Prices for this course can change with time. Kindly refer to their pricing page for more information.

Requirements

Learners need a computer with internet connectivity and should be able to install programs. Also, experience in reporting with other platforms is an advantage but not a necessity.

Related: 15 Best SAS Dashboard Examples

5. The Complete Tableau Bootcamp For Data Visualization (Udemy)

This course is aimed at newcomers, taking them from scratch to solving real-life problems with Tableau. Even more, the course addresses the basic elements of the software and explores its interface.

From there, it moves on to resolving complex issues using functionalities like styling, applying transformations, mapping, and so on.

With this course, you will learn how to create visualizations that interpret observations better.

The course is delivered in English via pre-recorded or on-demand videos.

Also, the average study time for this course is 12 hours, 44 minutes. Plus, included in the course are 124 lectures, divided into eight sections.

The course also includes ten articles, 31 downloadable resources, access on mobile and TV, and a certificate of completion.

The course is compiled by Jose Portilla, Rayan Slim, Sarmad Tanveer, and Jad Slim.  Over 10,900 students have enrolled for the course.

What you will learn

This course teaches you what you need to know to create data dashboards and visualizations using Tableau. You’ll also learn:

• Basic elements of data visualization and how to apply them with Tableau
• How to build business dashboards
• Level of Detail expressions for solving complex tasks
• How to use basic calculations to solve common tasks
• How to use Tableau’s mapping functionality in answering spatial questions
• The usage of measure filters, Top N filters, dimension filters, and context filters
• Theoretical concepts like pre-attentive processing and data types

Topics discussed in this course include:

1. Introduction to data visualization and Tableau
2. Visual analytics
3. Maps and location
4. Color vision deficiency
5. Advanced calculations
6. Dashboards and stories
7. Advanced dashboard

Pricing

The price for a single, one-time purchase of this course is $149.99. It comes with a 30-day money-back guarantee and full lifetime access to the course.

Note that prices for this course can change over time. Kindly visit their pricing page for more information.

Requirements

The structure of this course is pretty simple. All learners need is a Windows or Mac computer.

6. Data Visualization With Tableau Specialization (Coursera)

This course is a Specialization that’s aimed at newcomers with no prior experience with Tableau or data visualization. The course uses Tableau’s library of resources to explain best practices for data storytelling and data visualization. Also, you will see examples from real-life journalistic and business cases.

The course also sheds light on how you can learn to use, navigate, and examine different features of Tableau. Plus, it teaches learners how they can design and build dashboards and visualizations for specific audiences.

More so, the course also teaches how to assess data quality and perform exploratory analysis. You also learn how to combine data to present your story.

The course delivery is in English via pre-recorded or on-demand videos.

Also, the course has a flexible schedule and can be completed in 6 months if you’re studying for 3 hours a week. It allows you to set and maintain flexible deadlines.

The course includes sharable specialization and course certificates, access on mobile and computers, practice quizzes, and graded assignments and quizzes with peer feedback.

Additionally, the course is compiled by four authors, Desiree’ Abbott, Hunter Whitney, Govind Acharya, and Suk S. Brar, M.B.A. Over 48,600 learners have enrolled for this course.

What you will learn

You will learn how to generate dashboards and reports for better decision making. Also, you will learn how to see and understand data better by using Tableau to create visualizations.

This specialization consists of four courses. They include:

1. Fundamentals of Visualization with Tableau
2. Essential design principles for Tableau
3. Visual analytics with Tableau
4. Creating dashboards and storytelling with Tableau

Pricing

The price for this course is set at $49 per month, after the completion of a 7-day free trial.

However, payment of $33.25 per month, billed annually, gives you full library access. You can also access 3,000+ courses, specializations, and professional certificates.

Prices for this course can change over time. Kindly visit their pricing page for more information.

Requirements

There are prerequisites to learning this course.

7. Data Visualization In Tableau (Udacity)

This course focuses on the fundamentals of data visualization. You will also learn how to communicate and apply design principles with data. Also, the course demonstrates how you can build dashboards and create visualizations that tell your story.

The course is delivered in English via pre-recorded or on-demand videos.

The average study time for this course is 24 hours. The course also includes interactive quizzes, downloadable videos and transcripts, and a 6-month educational license for Tableau for only Nanodegree students.

What you will learn

You will learn effective storytelling, color theory, and human perception with data. The course also teaches you how to be more effective with visualization tools.

Key topics discussed in this course include:

1. Introduction to data visualization
2. Design principles
3. Creating visualizations with Tableau
4. Making dashboards and stories in Tableau

Pricing

This course is free.

Requirements

This course is for beginners with no programming experience.

8. Mastering Data Visualization Using Tableau: From Basic To Advanced (Experfy)

This course focuses on extracting knowledge from data using Tableau. It teaches you how to visualize and analyze complex questions easily.

Also, the course teaches you how to gather, examine, and present data for multiple purposes, like making forecasts regarding buying trends and working with scientific data.

The course combines real-life scenarios with Mathematics and Physics to produce step-by-step lessons on data science and business intelligence.

Additionally, this course is divided into different independent modules. Hence, you can start from any module that you want.

The course delivery is in English via pre-recorded, self-paced videos.

Also, the average study time for this course is 15 hours, 44 minutes. Plus, the course includes over 100 lectures and quizzes and ten real-life analytics projects and case studies.

The course author is a data scientist with over six years of experience.

What you will learn

In this course, you will learn how to extract data and represent it using Tableau.

Topics covered in this course include:

1. Tableau basics
2. Time series, aggregation, and filters
3. Maps, scatterplots, and dashboards
4. Joining and blending data
5. Table calculations, advanced dashboard, and storytelling
6. Advanced data preparation
7. Creating animations in Tableau
8. Level of Detail Calculations

Pricing

The price for a single, one-time purchase of this course is $39.

Note that prices for this course can change over time. Kindly refer to their pricing page for more information.

Requirements

This course has no prerequisites.

9. Beautify Your Data: Intro To Data Visualization Using Tableau (Skillshare)

This course focuses on transforming data into intuitive dashboards. You will use the concepts taught in this course in building a dashboard from scratch.

The course delivery is in English via pre-recorded videos.

Also, the average study time for this course is 1 hour, 13 minutes. The course also includes 12 different projects and three downloadable resources. It also has a “Discussion” section where students can have interactions and also ask questions.

The instructor is a data analyst and engineer. Plus, this course has been viewed by over 1500 students.

What you will learn

You’ll learn how to design a dashboard, create calculated fields, and build graphs and present them in an intuitive dashboard. Also, you’ll learn how to publish your work online.

Key topics covered in this course include:

• What’s a BI tool?
• Building sheets
• Graph types
• Dashboards

Pricing

This course is free.

Requirements

This course does not have any requirements.

10. Tableau Essential Training (LinkedIn Learning)

This course sheds light on what you need to know to display and analyze data using Tableau. It also explains how to manipulate and create data visualizations like dashboards, maps, histograms, scatterplots, charts, and highlight tables.  It also shows you how to share visualizations.

This course is delivered in English via on-demand or pre-recorded videos.

Also, this course has an average study time of 3 hours, 47 minutes.

The course includes mobile and web access, as well as transcripts for each video.

The course instructor is an author of over 40 books with more than 60 courses for LinkedIn Learning and Lynda.com. Also, about 13,532 people have watched the course.

What you will learn

This course teaches you how to install Tableau, filter your data, and connect Tableau to data sources.

Topics discussed in this course include:

• Installing Tableau and its drivers
• Managing data sources and visualization
• Managing Tableau workbooks and worksheets
• Creating custom calculations and fields
• Analyzing data
• Sorting and filtering Tableau data
• Defining groups and sets
• Creating and pivoting crosstabs
• Creating basic visualization
• Formatting Tableau visualizations
• Annotating and formatting visualizations
• Mapping geographic data
• Creating dashboards and actions

Pricing

This course is free.

Requirements

The course does not have any prerequisites.

Conclusion

So, there you have it. Our list of the ten best Tableau courses. However, this article won’t be complete without picking the best of the best from the list, and that is the Tableau A-Z: Hands-On Tableau Training For Data Science on Udemy.

This course guides you through all the Tableau features that allow you to

• Present
• Interpret
• Modify
• Experiment with and explore data easily

Furthermore, each section of this course presents new exercises and data sets. Learners can immediately put to use what they learn in the course.

Furthermore, the course teaches you how to navigate Tableau, connect it to data files, and export reports as worksheets. This way, beginners can feel at ease throughout the course.

What’s even more exciting is that the course covers the most advanced and latest features of data prep in Tableau 10. You’ll learn how to create storylines, treemap charts, and table calculations.

The post 10 Best Tableau Courses 2024 appeared first on Rigorous Themes.

Each tool has its unique strengths, catering to different business needs and user preferences. We’re cutting through the clutter to present you with options that stand out in functionality, user-friendliness, and versatility.

Whether you’re a small business owner, a data analyst, or someone in between, you’ll find a tool here that fits your data visualization journey.

Get ready to make an informed decision, as we dive into the features, benefits, and use cases of each Tableau alternative.

Welcome to your next step in finding the perfect data visualization & business intelligence software companion.

Best Tableau Alternatives

1. Power BI

Microsoft Power BI is designed with an interactive dashboard that necessitates powerful data analysis and production of customizable reports.

Power BI is compatible with both mobile and desktop devices.

Clients are free to import data from SQL servers, Hadoop clusters, on-premise, and Excel spreadsheets and transform, polish, and visualize it in a more organized way.

Power BI and Tableau are similar when it comes to self-service data visualization capabilities. It can connect large data from different data sources and consolidate it.

The data mining process allows you to apply algorithms to the data sets and uncover new incredible insights.

Microsoft Power BI comes with capabilities to perform AI-based diagnostic data analysis and problem-solving.

When combined with Microsoft Azure, Microsoft Power BI ensures you get efficient cloud services, including smooth data pipelines and warehousing.

If you are looking for a self service BI tool that offers collaboration features and data report sharing, Power BI has them all and more.

Its similarities with Tableau include:

• Drag and drop canvas
• Data connectors
• Collaboration
• Data preparation
• NLP queries
• Personalized mobile app
• Publish to the web

What gives it an Edge over Tableau?

• Integration with Microsoft
• Excel integration
• Better NLP that includes Quill, a natural language generation tool, and voiced-based queries
• Automated machine learning
• Advanced Data models compared to Tableau
• Feature loaded mobile app
• 60-day free trial
• Cloud-ready reports

Related: 15 Best Tableau Dashboard Examples

2. MicroStrategy

MicroStrategy has a suite of business intelligence services and tools.

It links cloud data, big data, and contents from other databases and visualizes them to deliver simplified graphic information.

Its drag and drop user interface enables users to combine structured and unstructured data from different applications.

Its similarities with Tableau include:

• Drag and drop interface
• Data preparation
• Collaboration
• Data connectivity
• Geospatial analytics

What gives it an edge over Tableau?

• Predictive modeling – It converts predictive modeling markup language (PMML) into algorithms so you can leverage the data mining work done directly within the BI application.
• Data security – Offered at row and column levels, unlike Tableau
• Zero click insights – Has hyperintelligence tools
• Robust mobile app

3. Sisense

Sisense lets you import and analyze data before producing interactive reports and advanced, customizable visualizations. It utilizes machine learning and AI to augment data analysis.

Sisense uses a data-driven approach in its operations. You can tailor its interface to your preferences and visualize both big and disparate data.

It enables the use of dashboards and widgets, permission management, and tracking logins.

With Sisense, you’ll be able to monitor threats, visualize multiple data sets, and drill granular raw data from all sources.

Some of its notable features include exporting data in multiple formats (images, PDF, Excel, and CSV), tracking widget usage, dashboard and logins, monitoring threats, analyzing complex data, and carrying out efficient big data queries.

Its collaboration tools allow you to share insights with partners, customers, and other stakeholders.

Its similarities with Tableau include:

• Flexible deployment options and pricing
• Drag and drop interface
• Data connectors including Amazon Redshift, SQL Server, MongoDB, CSV, Excel, FTP, ODBC, JDBC, and more
• Multiple integrations
• Data visualization
• Pre-built, web-based dashboards
• Data querying
• Natural language processing
• Personalized KPI monitoring

What gives it an edge when compared with Tableau?

• ElastiCube technology for high performance
• Built-in ETL tools
• Automatic KPI tracking
• Advanced analytics
• Embedded analytics

4. Oracle Analytics Cloud

Oracle Analytics Cloud is another AI-powered, cloud-based analytics tool for data visualization,  preparation, reporting, and more.

Oracle will take you through personalized analytics, NLP, and data preparation from the convenience of the cloud.

It uses machine learning algorithms to help you get answers to your individual questions without relying on someone else.

Its similarities with Tableau include:

• Drag and drop dashboard
• Data preparation
• Collaboration
• Data connectors
• Conversational analytics with support for natural language explanations of patterns and visualizations.

What gives it an edge over Tableau?

• Predictive analytics – It supports predictive model markup language (PMML) for accurate forecasts and predictions.
• Day by Day analytics app for smart feeds and mobile reporting. Data visualization app for augmented analytics features like geospatial analysis and personalization.
• Augmented data enrichment using intelligent machine learning technology.
• Write-backs – This functionality helps to update data in real-time.
• Voice-based NLP and NLG – It supports natural language queries in voice and text formats.

5. Qlik Sense

Qlik Sense is a business intelligence software with plenty of solutions and customization features that help in compiling and analyzing data using artificial intelligence.

Its associative engine is what differentiates Qlik Sense from Tableau. This is an in-memory data engine offering high-end calculation and aggregation, indexing, and data analysis.

Qlik Sense gives data engineers the freedom to explore unstructured data and discover patterns, outliers, and connections without modeling these relationships beforehand.

Qlik Sense is user-friendly but requires a learning curve to master. Currently, it’s only available on Windows, but the native app can be used on iOS and Android.

Its similarities with Tableau include:

• Interactive drag and drop visualizations
• Native mobile apps
• An insight advisor that suggests visualization types after analyzing data
• Conversational analytics based on AI and natural language

What gives it an edge over Tableau?

• An associative engine that helps gather insights
• Artificial intelligence
• Column-level data security
• Edge analytics that analyses complex data as it flows in
• Gesture-based user interface and interaction model

6. TIBCO Jaspersoft

TIBCO Jaspersoft brings in timely data to your business process and applications. It uses embeddable analytics and reporting.

Jaspersoft works at a commendable speed to deliver the most actionable data on time. Furthermore, it’s good on the pocket and packs features that match with Tableau and more.

Its similarities with Tableau include:

• Web interface for quick administration
• Data warehouse
• Multi-data source reporting
• Pixel perfect reports
• Collaboration
• Responsive web access and multi-tenancy
• Multiple integrations

What gives it an edge over Tableau?

• Audit logging
• Use of OLAP and ROLAP
• Publish as PDF

7. Board

Board is a business intelligence software with combined business intelligence functions, data discovery, analytics, and business performance management.

It comes with many sophisticated features and tools to help you collect data, interact with it, and perform analysis.

All the insights can be included in the planning process and simulation automatically to help in decision making.

Besides collecting and analyzing data, Board also provides tools for creating custom applications without the need for coding knowledge.

The drag and drop function makes things easier and you can design simulation applications and predictive data models according to your business needs.

Its similarities with Tableau include:

• Data collection
• Data connectors
• Collaboration
• Drag and drop interface
• Multi-user concurrent entry

What gives it an edge over Tableau?

• Automated drill suggestions
• Real-time data modeling
• MS office integrations
• Fully customized automated processes
• No need for coding background when designing and configuring simulation applications
• Also, a corporate performance management tool
• It’s meant for all types of businesses

8. SAS Statistical Software

SAS is an excellent tool for business intelligence, predictive analysis, multivariate analysis, advanced analytics, and criminal investigation.

With SAS, you can access data from multiple data sources and carry out sophisticated, high-level data analysis.

If you need to transfer information to different departments in your organization, this is your tool.

Its customer-centric approach helps you solve any issues you may face.

Its similarities with Tableau:

• Data collection
• Collaboration
• Centralized feature updating
• Data connectors
• Data management

What gives it an edge over Tableau?

• The one-to-many delivery model for applications
• View raw data files found in external SQL databases

9. Zoho Analytics

Zoho Analytics is a self-service data visualization tool & analytics software.

Zoho is user-friendly and can be used by SMBs and startups to manage their data efficiently and cost-effectively.

Zoho Analytics’ similarities with Tableau include:

• Data collection from multiple sources
• Collaboration
• Spreadsheet-like drag and drop Intuitive user interface .
• Data connectors

What gives it an edge over Tableau?

• Powerful formula engine for statistical and mathematical functions
• Cross-functional reports
• Connect to any data source
• Visual analysis
• Secure digital collaboration

10. Pentaho

Pentaho is a business analytic software and data warehousing tool for information dashboards, data integration, OLAP, and reporting services.

It is also equipped with powerful mining, transformation, and loading capabilities.

Its data integration is simple, with no coding requirements for you to access data.

This software is to use straightforward include, with user-friendly features. You can discover, access, and merge your data efficiently before analyzing it.

Pentaho’s similarities to Tableau include:

• Custom information dashboards
• Data extraction, access, and management
• Data integration
• Collaboration
• Simplified embedded analytics
• Acceleration of data pipeline

What gives it an edge over Tableau?

• Community dashboard editor
• No coding
• Operational reporting for MongoDB
• Free to use

11. TIBCO Spotfire

TIBCO Spotfire has user-centric interactive dashboards and visualization tools. The software can send alerts to mobile gadgets and define KPIs.

Spotfire is a flexible data analytics software that can help you grow your business.

It enables timely reporting and analysis and will make your data visualization easy and fast.

Spotfire’s similarities to Tableau include:

• User-friendliness
• Dynamic dashboards
• Data visualization capabilities
• Ease of collaboration
• Leverages automatic emailing reports
• Swift application updating

What gives it an edge over Tableau?

• Uses formats based on the existing data elements
• Accessible template spreadsheet, charts, and reports
• Different chart and graph formats

12. Wyn Enterprise

Wyn Enterprise provides enterprise-grade self-service reporting, which is its main selling point.

It comes with an intuitive dashboard that visualizes all data in a single display. Its functionalities are more than you expect from a business intelligence application.

Wyn Enterprise presents data in a simplified way that lets you make better decisions. Its data governance allows you to manage the availability of your data.

Its interactive dashboard makes it easy to create all the data visualizations you need.

Wyn gives you a free trial to check out its comprehensive features and functionalities.

Its similarities with Tableau include:

• Interactive dashboard
• Data collection and data analysis
• Collaboration
• Data management

What gives it an edge over Tableau?

• Self-service business intelligence
• Pixel perfect reports in hard copy
• Data federation and statistical modeling tools
• Automated data distribution
• Ad hoc reporting
• Multi-tenancy support

13. Salesforce Analytics Cloud

Salesforce Analytics Cloud is a business intelligence program based in the cloud.

Salesforce Analytics Cloud automates the data discovery process to ensure efficient visualization for all users in your business.

Salesforce offers end-to-end business intelligence solutions, including set up, data migration, collaboration, and data distribution.

It has an array of features that you can enable or disable based on your needs.

For example, you can decide to enable the data sharing function to allow other users access to data.

When all features are set up, you can migrate your data into its Analytics Cloud using connectors. These connectors help to integrate data from external sources or other Salesforce apps.

Once all data is imported into the Salesforce Analytics Cloud, you can work on the data set, app, and AI model preparation and share it with your teams.

Salesforce similarities to Tableau include:

• Data visualization
• Collaboration
• Data collection and distribution
• Data connectors

What gives it an edge over Tableau?

• Enabling and disabling of features based on your needs
• Data integration from both internal and external sources
• Create a selection of charts and graphs to ensure easy visualization
• Discover trends and insights through Einstein Discovery to initiate data-based predictions
• Annotate dashboard widgets and present data through interactive, live dashboards

14. Looker

Google Looker is an excellent visualization tool that transforms data into better business decisions.

It comes with live, interactive dashboards that provide detailed information to translate into colorful charts that simplify data.

Looker is great for media, eCommerce, finance, technology, and gaming/eLearning enterprises that already set up data analytics.

The LookML feature helps to define business data and build reports. The data is then collected, analyzed, and translated into SQL queries.

You can connect popular data sources with Google Looker, such as Google Analytics, Salesforce, and Microsoft Dynamics CRM & perform ad hoc analysis.

Its similarities with Tableau include:

• Web-based interface
• Real-time dashboards
• Powerful visualizations
• Collaboration
• Data sharing
• Data connectors
• Real insights

What gives Looker an edge over Tableau?

• Modern API focused modeling language
• Self-service reporting
• App usage monitoring in real-time
• Easy to use drill-down capabilities
• Great for non-technical users
• Supports PDF, Google Docs, and Excel conversions
• Mobile and browser compatibility
• Share data and reports through email and URLs
• Export data manually in .csv or text files

15. Reveal

Reveal is an innovative software for business intelligence. It enables you to visualize both sorted and unsorted data. Its interface is quite intuitive, allowing you to work with charts, graphs, and other visualization tools.

Reveal supports modern reporting. It has unique dashboards from where you can filter, annotate, drill down, and interact with data.

You can access your data from your mobile, the web, desktop, SaaS, and on-premises applications.

What sets this provider apart is its application-embedded solutions. It does away with the complexity of integrating disparate BI software to proprietary systems in the back-end.

Reveal has a flexible architecture and rich APIs that give you control over its features.

It works with other data connectors, including Azure SQL, Azure Synapse, Google Big Query, and AWS.

The Reveal architecture incorporates containers and microservices. This is why it’s distributed across multiple servers for more scalability and resilience.

Reveal gives you a free trial to familiarize yourself with its features.

Reveal’s similarities with Tableau:

• Data visualization
• Intuitive drag and drop interface
• Unique dashboards

What gives Reveal an edge over Tableau?

• Easy to create interactive dashboards
• Simple to transform data into tactical insights
• Built to integrate into existing applications
• Architecture made of microservices and containers for scalability and resiliency
• Easy to create and leverage machine learning models to high-end data visualizations

16. Domo

Domo is an excellent option for gathering data from different sources, areas, and units in the company. It updates data in real-time, allowing you to access it by a coding-free visual editor.

With Domo, you get a variety of charts and a fully mobile-first approach. The analytics platform integrates with social platforms like Twitter, YouTube, and Facebook.

Its similarities with Tableau include:

• User-defined interface
• Data connection
• Data collaboration
• Dashboard creation
• Alerts

What gives Domo an edge over Tableau?

• Domo Business Cloud helps to integrate data from many sources
• Mobilizing data teams on the fly and have them compete at the cloud speed
• Set automations

17. CXAIR

CXAIR is a business and data analytics software you can deploy on-premise and from the cloud.

With CXAIR, your data analysts can unify disparate and conflicting datasets easily. If your data team handle large data volumes daily, CXAIR can come to your rescue.

Your company can collect actionable insights from gathered data and consolidate and index separate data streams.

CXAIR is powered by Lucent search engine technology, which lets you retrieve your data accurately and fast.

Its similarities to Tableau include:

• Data collection
• Data analytics
• Easy to use interface
• Data distribution and sharing

What gives CXAIR an edge over Tableau?

• Apache Lucene search engine technology for rapid and accurate retrieval of data
• Consolidating different data sets
• Scalability and flexibility to work with current IT infrastructure
• User friendly interface
• Less expensive
• Self-service data discovery and analytics

18. ActiveBatch

ActiveBatch is an IT automation solution offering reliable features.

It was designed to help you improve data insights by leveraging data from multiple data sources like systems, applications, and databases.

ActiveBatch offers top-notch tools, including robust reporting tools, workflow monitoring, SLA reporting, alerting tools, and business intelligence features.

These tools will help you unearth insights, monitor, and manage workflows and systems with ease.

For instance, workflow monitoring and alerting tools will help you identify any issues on time and resolve them immediately before they affect the workflow.

ActiveBatch’s business intelligence tools will give you all the information your business needs to improve decision-making.

And with SLA monitoring tools, you’ll be able to enforce policy for timely service level fulfillment.

ActiveBatch offers multiple developer and operation views, including Gantt, forecast, and machine load views, so you’ll analyze your data and get more insights into functional areas.

It offers you a free trial to help you understand its capabilities.

ActiveBatch similarities with Tableau include:

• Innovative interface
• Data collection and data analysis
• Data visualization
• Data connectors
• Reporting

What gives it an edge over Tableau?

• Powerful business intelligence and reporting tools
• Dynamic visualizations for data consumption
• Multiple developer and operations views for data analysis based on functional areas
• SLA monitoring tools for enforcing policies to enhance the service level
• Workforce monitoring
• Multiple operations and developer views

Best Tableau Alternatives – In Conclusion

And there you have it—a comprehensive rundown of the top Tableau alternatives available today.

These BI tools each bring something unique to the table, ensuring there’s a solution that fits every need and preference.

From robust functionality to user-friendly interfaces, you have options to help you make the most of your data.

Remember, the right tool for someone else might not be the right tool for you. It all boils down to your specific requirements and how you plan to use the software.

So, evaluate your options, weigh the pros and cons, and choose the business intelligence platform that aligns with your goals.

With the right BI tool in hand, you’re ready to unlock the full potential of your data and elevate your analytical capabilities.

The post 15 Best Tableau Alternatives In 2024 appeared first on Rigorous Themes.

Many data visualization tools like Tableau exist in the market, including Power BI, SAS and Qlikview. Despite this, a significant number of clients consistently choose Tableau. They favor it for its remarkable flexibility and user-friendly approach to data analysis.

Whether you’re a rookie analyst or a seasoned executive, Tableau has something for you.

With a vast array of dashboard types, you can track everything from real-time sales metrics to annual performance reviews. Get ready to turn your data into decisions.

Best Tableau Dashboard Examples

1. Sales Pipeline Dashboard

A sales pipeline dashboard turns your sales metrics into a roadmap for action.

Whether you’re a sales manager, sales analysts or sales executive, this tableau dashboard gives you the full picture—leads, opportunities, deal stages, and more.

The sales pipeline dashboard lets you zero in on key performance indicators that matter to your business.

From spotting new opportunities to understanding where leads are coming from, the insights are immediate and actionable.

In a world where data drives decisions, a Sales Pipeline Dashboard is a must-have.

Related: 15 Best Tableau Sales Dashboard Examples

2. Account Management 360 View Dashboard

The Account Management 360 View Dashboard in Tableau stands out as a vital tool for businesses looking to elevate their customer relationship game.

This comprehensive dashboard brings together critical data from various touchpoints, providing a holistic view of customer interactions and account status.

Sales executives and account managers find this tool invaluable as it helps in identifying opportunities, understanding client needs, and tracking communication history.

The dashboard displays key metrics such as purchase history, account health, and recent interactions, all in an easy-to-read format.

This ensures that teams are well-equipped with the information they need to foster positive client relationships and drive sales growth.

By utilizing the Account Management 360 View Dashboard, businesses can ensure that they are maintaining a client-centric approach, leading to increased customer satisfaction and loyalty.

In turn, this strategic approach to account management paves the way for sustained business success.

3. Executive Overview Sales Summary Dashboard

The Executive Overview Sales Summary Dashboard stands out as a powerful tool in any sales-driven environment.

Tailored for top-level management, this dashboard simplifies complex sales data, presenting it in an accessible and clear format.

What does this mean for sales leaders?

They can make swift, informed decisions without getting bogged down in data analysis.

The dashboard highlights key sales metrics, trends, and performance indicators, all in one place.

It’s not just about seeing the numbers; it’s about understanding what they mean for the business.

Whether it’s identifying high-performing products or pinpointing areas that need attention, this Tableau dashboard is indispensable.

It cuts through the noise, providing clarity and insight. This isn’t just a visual tool; it’s a roadmap for strategic decision-making.

With the Executive Overview Sales Summary Dashboard, leaders have the information they need at their fingertips, ready to guide their team to success.

Also Read: 10 Best Tableau Courses

4. Quarterly Forecast Dashboard

The Quarterly Forecast Dashboard stands out as a strategic tool for businesses aiming to stay ahead of their sales goals.

This dashboard breaks down sales data quarterly, providing clear visibility into trends and performance.

Users can easily spot which products are performing well and which may need extra attention.

By doing so, sales teams can adjust their strategies proactively rather than reacting when it might be too late.

The Tableau dashboard also showcases projected versus actual sales, giving a comprehensive view of the business’s trajectory.

This transparency ensures that all team members are on the same page, fostering a collaborative environment focused on meeting and exceeding sales targets.

Managers find this dashboard particularly useful for resource allocation, ensuring that efforts are concentrated in the right areas for maximum impact.

In essence, the Quarterly Forecast Sales Dashboard is a vital asset for businesses aiming to turn data into a competitive advantage.

5. Sales Growth Dashboard

The Sales Growth Dashboard stands out as a vital tool for businesses aiming to track their sales progress and pinpoint areas for improvement.

Leveraging this Tableau dashboard, sales teams gain direct access to critical data, streamlining the decision-making process.

It highlights trends, showcases performance metrics, and reveals the effectiveness of sales strategies over time.

This isn’t just about watching numbers go up or down; it’s a strategic instrument to analyze various aspects of sales, from lead generation to final purchases.

Teams can identify which products are performing best, where sales efforts are yielding results, and where there’s room for improvement.

With a user-friendly interface, the dashboard ensures that even those with minimal technical know-how can navigate through and make sense of their sales data.

In essence, the Sales Growth Dashboard transforms raw sales growth data into a clear, actionable format, paving the way for informed strategies and, ultimately, sales growth.

Read: 15 Best Power BI Dashboard Examples 

6. Sales Territory Assignment

The Sales Territory Assignment Tableau Dashboard is a powerhouse tool that transforms sales strategies and sales performance tracking.

It provides a clear, visual layout of sales territories, aligning them with the right sales representatives.

This ensures balanced workload distribution and optimal coverage across different regions. Users can quickly identify which territories are underperforming and which ones are hitting their targets.

This allows sales managers to make data-driven decisions to reassign territories or provide additional support where needed.

The dashboard is user-friendly, ensuring even those new to Tableau can navigate and understand the data presented.

It provides real-time updates, so sales teams are always working with the most current information.

By utilizing this dashboard, organizations can boost their sales efficiency, enhance representative performance, and ultimately drive higher sales revenue.

In essence, it’s a vital tool for any sales-driven organization looking to optimize territory assignments and elevate their sales game.

7. Sales Cockpit Dashboard

The Sales Cockpit is a combination of selected behaviors, data, and goals into one single tool.

With this dashboard, your sales rep will have easy access to leads, customers’ insights, and sales quota attainment.

And when you integrate this tool to your CRM tool and other relevant extensions, you will have created the ultimate tool to help you take the right sales actions and increase profits.

There’s no seasonal constraint for the Sales Cockpit dashboard. In fact, it will yield better results when the sales rep makes use of it all day. This will help them stay focused and guide them through the process of making result-oriented decisions.

The Sales Cockpit dashboard is a sales executive solution to ensuring that their sellers stay informed without having to leave the hub of sales data.

8. Super Sample Superstore Dashboard

Once you get started with Tableau, there’s a superstore dataset that comes with it. This dashboard helps to evaluate the dataset.

This data visualization tool helps to guide its users on how to develop better designs, tactics, and data arrangement strategies.

To first get started with the Sample Superstore, you will have to select a date range and region to coordinate your actions.

Once you have highlighted a region, you can select a sub-region as well. For example, if you have selected Europe as your region, you can highlight Scotland to filter the descriptive dashboard further.

You can also set date formats, so you can choose to view performances by date granularity or year over year.

The Prescriptive dashboard will help users to get a clearer understanding of the Descriptive dashboard outputs.

Generally, the Superstore Sample dashboard is mainly used to analyze rises and falls in sales, profit margins, shipping periods, and many more.

9. Healthcare Data Dashboard

Health-care analysts are usually faced with the challenge of handling voluminous datasets. They deal with patients’ demographics and have to track down trends to keep up-to-date records.

The Tableau Healthcare Data dashboard takes out the tedious manual method of arranging these analytics by presenting an easy drag and drop method that helps you quickly connect and visualize your data.

With this dashboard, hospital managers can manage and identify patients’ risk from one screen, which will potentially make it easier to adhere to new regulations.

Some of the biggest leaders in the healthcare world, such as Providence and Mount Sinai, are already employing this data visualization tool to connect and find meaningful insights within their analytics.

An example of one area where they have seen measurable value, thanks to this visualization tool, is in identifying the trend of frequent short-staying patients against the long-staying ones.

Related: 15 Best Qlikview Dashboard Examples

10. Crimes in India

Crime has always been a hard nut to crack even in the ‘safest’ places in the world. No one is truly safe anywhere, which is why there are often calls by citizens for the police force to put more men on the ground.

Of course, the more cops we have patrolling our streets, the safer the streets will be, but how many places can the cops be in at once?

The truth is that it is impossible to cover every single area at once, and so the next best thing is to supplement manpower with data visualization, which is what the Crime dashboard does.

This dashboard was created by Donthala to figure out the areas in India that suffered from criminal attacks between 2001 to 2014, and it can be adapted for other locations.

It utilizes data of areas where crimes have taken place and the times, to predict the hot spots for criminals, so that the police can better strategize and double down on their efforts.

Related: 15 Best SAS Dashboard Examples

11. Product Availability Dashboard

Taking a record of your inventory can be tricky sometimes. Any mess up and you will find that you have placed some inventory in the wrong level.

This dashboard solves that problem for you by helping you sort the availability of your products based on several aspects such as categories, suppliers, retailers, etc.

It is designed to provide insights on all your inventory, regardless of their different inventory levels, whether in-store or in transit.

This visualization tool gives visibility to the availability of products in the form of excesses or out of stock measures. In doing so, it helps you save a ton of money, since excessive products will eventually lead to spilled costs, while lack of availability indicates lost sales potential.

12. Promotional Optimization Dashboard

More than 80% of retail sales happen as a result of promotions, but spending money on business promotion without driving the desired results, is one of the most undesired ways to use your money.

If you are in the habit of optimizing your trade promotions, then you will be stuck with questions like how your competitors are optimizing their own promotions,

what will be the predicted sales level if you choose to sell your products a certain way, and many more.

These questions are, to a great extent, answered by the Promotional Optimization dashboard.

The software uses data from digital media, retailers data brokers, and past promotions. It lets you picture these data during all stages of promotion including pre-promotion, during promotion, and post promotion stages.

13. Social Media Dashboard

Nowadays, social media is buzzing like none other and that means millions, if not billions, of data are being passed around.

But these data are only meaningful if you can connect them to draw meaningful insights from them.

Using social data is actually very easy. There are preset templates that you can use to broadcast your messages across several platforms.

The Social Media dashboard makes collaboration and KPIs alignment within internal and agency teams easy.

You can share your dashboard content with members of your team or management to keep them informed of your marketing efforts.

Also, this dashboard lets you in on how your paid social activities are faring, so you can easily monitor your PPC and see what they yield in terms of website traffic and conversions.

Related: 15 Best Grafana Dashboard Examples

14. Real Estate Dashboard

Real estate companies like Zillow and Redfin are now using Tableau data to improve the accuracy of housing listings and to help realtors to get access to result-oriented reporting tools.

For example, if a house hunter is looking to get a new home, the first question that will come to mind is if the timing is the best to buy a house.

With Real Estate dashboards, these house hunters and even sellers can see if the prices of homes are rising and falling in their area of choice.

This tool can show time-based listing performances and sellers can even introduce third-party analytics integrations to make smarter choices.

15. Energy Sector Dashboard

Tableau streamlines the process of working with the massive data sets generated in the energy and resource power sector.

This dashboard is used to monitor frequent and seasonal occurrences such as outputs, downtimes, and customer service.

With this interactive platform, energy operators can help clients better visualize data and relate to concepts. And even empower them to get the data they need themselves.

Best Tableau Dashboard Examples – Final Words

There you have it: 15 game-changing Tableau dashboard examples that put data to work.

We’ve walked through a range of scenarios, from sales to healthcare, showcasing the flexibility and power of Tableau.

But remember, these business intelligence dashboard examples are just a starting point. The real magic happens when you tailor these dashboards to fit your unique business needs.

Whether you’re a Tableau beginner or an expert, these templates offer actionable insights that can help drive decision-making.

So, don’t just admire these dashboards—use them as a springboard for your own data-driven success.

Take what you’ve learned here, apply it, and watch your data come alive. With Tableau dashboards, the possibilities are endless. Time to get started.

The post 15 Best Tableau Dashboard Examples (Updated 2024) appeared first on Rigorous Themes.

Best Power BI Dashboard Examples

1. Airport Authority Performance Power BI Dashboard

The Airport Authority Performance Power BI Dashboard gives a clear and user-centric view of all critical data. Airport management authorities can use quickly make data-driven decisions where there are 

• Flight changes
• Emergencies
• Delays

What does this Power BI Dashboard Does

This Power BI dashboard overview offers quick insight into critical key metrics including 

• Total flights (incoming and outgoing flights)
• Total delays (arrivals and departures)
• Ground handling time – Queuing, Processing, and Clearance time
• Passengers satisfaction index

With this dashboard, users can study the most popular flight routes, the top five airlines, for incoming and outgoing flights. The dashboard also provides data about the source and destination cities of major airliners. 

This Power BI dashboard features a passenger feedback section and offers an insight into the 

• Number of passengers by gender and age group 
• Top Nationality 
• Satisfaction experience based on terminal and month 
• Total satisfaction count and more

This Power BI dashboard can help airport management 

• Evaluate operational processes 
• Discover bottlenecks
• Identify areas for improvement

People’s Response to This Power BI Dashboard

• This dashboard offers detailed actionable insights into airport operations activities.
• Page backgrounds are incredible.

Explore: Best Tableau Courses

2. Customer Analysis Power BI Dashboard

The Customer Analysis Power BI Dashboard offers valuable insight into product sales and profit for regional customers. Managers and business leaders can use this Power BI dashboard to analyze business growth across regions. 

They can evaluate profit distribution across customers, make valuable decisions to increase revenue, and drive profitability. 

What this Power BI Dashboard Example Does

This dashboard provides details about total sales, total profits, last year sales, and percentage growth. You can use the filters to view data for different years. With this dashboard, managers can gain key insights into

• Product-wise sales analysis
• Customer-specific growth and profit statistics
• Channel specific sales and profits

Customers can use charts to 

• Compare total sales and profit margins
• Analyze client segmentation and product performance

People’s Response to This Dashboard

• The icons and color combinations are excellent
• The dashboard is useful for sales and marketing teams 

You Might Want To Read: Best Tableau Sales Dashboard Examples

3. Global Superstore Retail Power BI Dashboard

The Global Superstore Retail Power BI Dashboard offers a 360-degree picture of overall sales performance. Managers can use this Power BI dashboard to set performance targets, track KPIs, and measure results.

What this Power BI Dashboard Example Does

The dashboard has a single-screen display and offers actionable insights into key elements. Users can view detailed analyses and information including 

• Total sales, profit, and profit ratio
• Sales by country
• Sales by category and subcategory
• Total sales by city and more

People’s Response to This Dashboard

• This retail Power BI dashboard highlights critical information. 
• The dashboard is clean, easy to read, and offers powerful key insights.

Worth Reading: Best Tableau Retail Dashboard Examples

4. Cancer Analytics Power BI Dashboard

This Power BI dashboard tells a story about cancer patients in the USA. With this dashboard, health agencies can 

• Make informed decisions 
• Establish policies to manage cases and track recoveries

What this Power BI Patient Analytics Dashboard Does

The Cancer Analytics dashboard shows total cancer incidences and mortalities. Users can view the total population affected, and the numbers of people affected based on demography and area. 

The Power BI dashboard helps you understand the incidences and mortality rates associated with each cancer type. You can hover over any state to find out the number of affected victims.

People’s Response to This Dashboard

• The dashboard is intuitive and visually appealing. 
• It provides valuable data for government use. 

5. Pharma Sales Analysis Power BI Dashboard

The Pharmaceutical Sales Analysis Dashboard provides an overview of sales for veterinary products. Veterinary professionals can use this chart to track the sale of products used to treat small animal species.

What this Power BI Dashboard Example Does

With this sales analysis dashboard, sales manager can analyze product sales for the Top Five Cities and the Bottom Five Cities. Users can view extensive reports on 

• Sales by Therapeutic Group
• Top 25 Products by Sales and Quantity 
• Therapeutic Sales Trends across any given period

People’s Response to This Power BI Dashboard

• The interactive dashboard has cool data visualizations and offers profound insights. 
• Data is visible and arranged.

6. HR Analytics Power BI Dashboard

The HR Analytics Dashboard offers a bird’s eye view of a company’s human resource key metrics including 

• Headcount statistics
• Financial performance & statistics 
• Demographic statistics 
• Employee details

With this dashboard, organizations can make critical decisions to drive employee productivity. 

What this Power BI Dashboard Example Does

This Power BI dashboard provides data insight into headcount statistics. Under this tab, managers can view 

• Total Headcount 
• Active Employees
• New Joiners
• Attrition Rate 
• Satisfaction Score by Employee
• Attrition Rate by Education, Salary, and Experience 

The dashboard offers additional insight into demographic statistics including 

• Employee by Location and Demography
• Quarterly Employee Headcounts by Departments 
• Total Absenteeism by Department and Leave Type

The chart offers an accurate representation of the firm’s finances in terms of 

• Cost to Company (CPC), 
• Company Cost by Division and Departments
• Compensation, Salary, Bonus, Overtime, and more

It also gives an overview of each employee, including

• Performance ratings
• Annual leave report
• Personal information
• Financial performance & details
• Current position
• Absenteeism report

People’s Response to This Dashboard

• Reports and visualizations are pixel perfect.
• The dashboard color theme is visually appealing. 

7. Executive Insights Power BI Dashboard

This Power BI intelligence dashboard sheds light on business health and performance. Companies can use this dashboard to explore company-wide data for decision making. 

What this Power BI Dashboard Example Does

The Executive Insights dashboard allows companies to view their business from multiple angles based on attributes including 

• Products
• Year
• Country
• Order type 

The dashboard leverages line charts, donut charts, and custom visuals for analysis. Companies can use filters to tell stories about business elements, like total profit, quantity, and revenue. Users can gain insight into metrics such as 

• Profit margin
• Average order quantity
• YOY percentage change in Total Profit
• Top five products by Total Profit, Total Quantity, and Total Revenue
• How Total Profit, Total Quantity, and Total Revenue is distributed geographically

The tool allows users to dig deeper and view company performance based on specific product types. 

People’s Response to This Dashboard

• The dashboard offers next-level user interactivity and attractive mapping.
• Clear and easy to understand 

8. Inventory Stock Analysis Power BI Dashboard

The Inventory Stock Analysis Dashboard provides a clear view of the company’s inventory for the year 2018. Companies can track stock availability and replenish them at the right time. 

What this Power BI Dashboard Example Does

The dashboard is broadly categorized into:

1. Product Categories by Customer Views and Inventory
2. Category Selection – Men’s clothing and Women’s Clothing
3. Quarters – First, second, and third quarters

Product Categories by Views are further classified into 

• Most Viewed
• Least Viewed
• Products Not Viewed

You can also view Total Sales in USD and percentage-based classification. Product Categories by Inventory are classified into 

• In Stock
• Running Out Of Stock 
• Out of Stock

For each category, the top five products, number of views, days’ supply, and replenishment days are clearly outlined. 

This dashboard also offers insights on Inventory. It divides the top five products into individual categories and segments them into Overall Percentage and Total Sales.

The dashboard offers a stock prediction section. Users can select product subcategories and get data on Average Daily Sales, Replenishment Days, and Days Out of Stock.

You can predict Time to Replenish Stock and Stock Availability based on factors like MarkDown Variance and Fulfillment Cycle.

People’s Response to This Financial Analytics Dashboard

• This financial analytics dashboard is intuitive and covers multiple sections. 

9. Electricity Energy Usage and Cost Power BI Dashboard

This Power BI dashboard helps users to estimate the electrical energy they utilize from home appliances. Users can view critical insights about United States Electricity Supply and Cost. 

With this dashboard, users can monitor their power consumption and take proactive steps to reduce costs. 

What this Dashboard Does

Users can calculate their usage by selecting the appliances they use and how much time they use per day. Then they can choose their state or location to estimate the cost of their electricity bill. The dashboard showcases the following

• Total Annual Energy (kWh)
• Total Annual Cost ($)
• Annual Costs by Category or Appliance
• Annual Energy by Appliance

This dashboard gives users a birds-eye view of 

• Total Electricity Sales by Sector
• Count of Plants by Sources, Prime Movers, and Energy Group

People’s Response to This Dashboard

• The dashboard provides useful information for everyday use.
• Presentation is accurate and easy to understand

10. Sales Scorecard Power BI Dashboard

The Sales Scorecard dashboard is another one of the popular Power BI dashboard examples. It helps organizations answer critical questions about sales performance.

This powerful data visualization tool leverages Power BI elements, including shapes, cards, treemaps, and DAX, to build Key Performance Indicators (KPIs) that provide enough details to help sales managers take action.

What this Power BI Sales Scorecard Dashboard Does

This sales dashboard provides vital insight into how much companies are selling per state, region, and product. You can view comparisons of sales and profit against the previous years to put sales performance into perspective. 

Managers can view the cost components of the business that are driving profits or losses. Also, they can filter the sales dashboard based on year and business segments. 

People’s Response to This Sales Dashboard

• The sales dashboard is interactive and easy to understand. 
• The chart helps sales & data analytics teams answer important questions. 

11. Social Media Monitoring & Analytics Power BI Dashboard

This analytics dashboard is great for marketers, managers, and agencies. With the Social Media Monitoring and Analytics dashboard, you can improve sales, product quality, and crisis control. The tool helps organizations understand the audience’s opinion about their product. 

What this Power BI Analytics Dashboard Does

This Power BI analytics dashboard shows monthly data focuses on aspects of social media including 

• Discussion Intensity
• Web Sources
• Sentiment Analysis 
• Online Influencers 
• Special Categories
• Quotes and Geolocation 

The Discussion Intensity tab offers critical insight into total reach, mentions on social media, and beyond social media. The chart also shows influencers by volume and impact, amplification, and true reach.

The sentiment analysis highlights User’s Mentions by Day, Hour, and Total mentions. Users can also view the percentage of negative, positive, and neutral mentions. 

Web sources show the channels from which the mentions emanated, including 

• Blogs
• Facebook
• Twitter
• Photos 
• Videos

With this analytics dashboard, users can view positive and negative mentions based on geolocation, including regions and cities.

Under the online influencer section, you’ll find influencers broken down by volume and impact across the months of the year. It also shows a breakdown of the influencer’s follower numbers impact, whether it’s negative, positive, or neutral.

People’s Response to This Analytics Dashboard

• The dashboard is stunning and offers critical insight. 
• Beautiful dashboard design 

12. Attendance Tracker Power BI Dashboard

The Attendance Tracker Dashboard helps school administrators track attendance across different teachers, classes, and schools. 

This attendance tracker dashboard will drive critical conversations and increased engagement between key stakeholders. With the reports from this dashboard, stakeholders can increase attendance and improve performance in the educational sector.

What this Dashboard Does

The dashboard shows the Absence Percentage by Subject, Courses, Period, and Day. Users can gain insight into the percentage of Actual and Target Absence, Total Absences, and Target Absences.

The District Status section provides high-level insight into attendance trends and goals. The line chart highlights Actuals compared to Target over time. Plus, the chart offers a predicted range for future months.

The chart also shows data about Opportunities by School. This section will help administrators target the most critical schools to work with. The most critical schools have the highest opportunity for Absence Reduction.

The Conversation Topics section provides insight into relevant information such as subject, course, period, and days of the week.

With this data, school administrators can reach out to teachers on an individual basis and increase educational value. 

People’s Response to This Power BI template

• Excellent and Insightful dashboard for teachers and administrators.
• The dashboard provides valuable insights at a district level to create action and development plans for teachers, schools, and specific periods and subjects. 

13. Team Performance vs. Target Power BI Dashboard

The Team Performance vs. Target dashboard highlights the performance level against set targets for business teams. 

With the insight from this dashboard, business leaders can share targets with teams daily, and evaluate how they score against their goal.

Managers can uncover areas for improvement and require more push, products, and customers that sales teams should focus on. 

This dashboard shows you the targets and bonuses that are within reach. It uses drill-throughs and bookmarks to organize the content. 

Users can move fluently between pages, switch between visuals using toggle) and drill down on Sales Reps, Products, and Customers.

What this Data Analytics Dashboard Does

The first page of the dashboard shows the percentage of YTD Results Vs. Target. You can click on a team member’s photo to view their Sales Rep Bookmark. 

For each sales rep, you can select metrics (Units or Profits). Also, you can select Period to analyze and understand long and short term trends.

Also, this data analytics dashboard allows users to switch between Bar and Map visuals using the toggle image, view non-profitable customers, and more.

Users can compare Performance and Target Cumulative Variance for all customers. You can right-click on the bar chart to open Customer Bookmark and drill through customers. 

This dashboard shows you profit, average price, and average margin within a location. Users can switch between Scatter and Matrix visuals using Toggle and identify product and sales opportunities within customers. 

People’s Response to This Dashboard

• The data visualizations are innovative and well-customized. 
• The dashboard is easy to understand.

14. NFL Fantasy Football Player Comparison Power BI Dashboard

This Microsoft Power BI dashboard helps users prepare their fantasy draft for the new NFL season. The dashboard draws its data from the NFL Fantasy Football player projection and the NFL player stats. Games and NFL enthusiasts use this dashboard to make accurate predictions and secure winnings. 

What this Dashboard Does

You can use this Fantasy football player comparison tool by selecting player one and player two from the lists provided. The Power BI report allows users to compare players by viewing critical players’ stats. You can view stats including 

• Total fantasy points for the previous season
• Projected receptions
• Yards and touchdowns for the upcoming season 
• Current season’s NFL.com predicted points total

The dashboard includes “What Ifs” to allow the user to create their player projections. Under the sections ‘Calculate Your Projection,’ you can adjust the selected player’s receptions, touchdowns, and yards numbers to see how it will impact their overall fantasy points. The scoring for this dashboard is based on the standard NFL.com fantasy scoring system.

Furthermore, this dashboard includes an option for PPR (points per reception) leagues. If your league is a PPR league, you can select ‘Yes’ in the top left corner. The overall points calculation will take into account the added points for each of the player’s receptions.

People’s Response to This Dashboard

• Fantastic dashboard design layout 
• Excellent use of the player images

15. Seattle’s Construction Climate Power BI Dashboard

This Power BI dashboard visually captures and presents the growth of Seattle’s Construction industry. The dashboard is powered by data from the Seattle Building Permits dataset. 

The building permit data offers profound insight and paints a clear picture of industry growth. It also provides a sneak preview into the future of Seattle’s construction climate. 

This dashboard is valuable for 

• Construction salespeople researching prospective sites
• Contractors investigating the competition’s strategy 
• Managers and CEOs that are making critical decisions on how to pivot their business

Seattle’s Construction Climate dashboard provides a deeper understanding of the market. Also, it enables you to drill down into major details and research specific events.

What this Dashboard Does

This dashboard is divided into three tabs. These tabs provide answers to critical questions. 

For the Building Climate Overview Tab

• The top bar chart shows the increase in pace and amount of investment with time. 
• The map highlights the investment concentration in specific locations. It also shows how the concentration is affected by Individual, Contractor, or Category. 
• The Highlighted Metrics section provides insight into market status. It shows the Permit Count, Total Value, Average Permit Value, and Maximum Permit Value. 
• The Middle Bar Chart shows categories that have the highest breakout. It also displays the individuals with the Largest Sum Value and Permits leading the market. 

Contractor Competition Tab

• The top line charts show the trending deal amounts and frequencies.
• The middle bar charts show contractors that are winning the most deals. It also shows which contractors have the highest Total Sum of Deals. You can also see which contractors are leading the market based on size, quantity, size, value

Category Growth Tab

• The left bar chart showcases the Total Value of Permit, Total Count of Permits, and Average Permit Value for each category.
• The line chart shows which category at the fastest rate and total Value growth trend and permit status.
• The right bar chart shows the status of most permits. 

This dashboard is easy to operate. You can select the parameters that fit your situation. Also, you can adjust the time frame using the top slider bar.

Dashboard Filterable Fields

The filterable fields in this dashboard include the 

• Permit Status – Application, review, and inspection lifecycle
• Permit Type – This refers to Activities covered by the permit (Construction, Site Development, and Demolition)
• Category – Industrial, Commercial, Institutional, Single Family or Duplex, and Multifamily
• Contractors associated with a permit

People’s Response to This Dashboard

• The dashboard shifts the focus from data complexities to the design elements and visual flow.
• The dashboard is attractive, intuitive, and easy to understand. 
• Users can easily find critical insights and make decisions quickly. 

Best Power BI Dashboard Examples – Wrap-Up

Power BI is one of the powerful data visualization tools offered by Microsoft that enables users to create interactive visual reports and dashboards from their data. Power BI allows users to connect to multiple data sources and analyze data.

In the guide above, we have reviewed some of the best Power BI dashboard examples. Use of Power BI dashboards cut across multiple industries and can be used for several purposes.

Business leaders use Power BI dashboards to track sales and marketing, Key Performance Indicators (KPIs), human resource analytics, inventory, and more.

Business teams can collaborate on the same data, reports, and share insights across Microsoft Office applications such as Microsoft Excel and Teams. Users can promote insights across the organization while maintaining data consistency, accuracy, and security.

With intuitive Power BI dashboards and Power BI reports, businesses can visualize their data and uncover deep insights. The dashboard provides insights into business performance and answers to business questions. 

You should use Power BI dashboards to make data-driven decisions that will put your business in the driver’s seat. 

The post 15 Best Power BI Dashboard Examples in 2024 appeared first on Rigorous Themes.

Power BI will help you single out valuable, actionable insights from your data and make it work for your business.

In this guide, I will shed light on Microsoft’s popular data analysis tool: Power BI. Specifically, we’ll look at the major differences between Power BI’s Pro version and its Premium version.

Related: 15 Best Power BI Dashboard Examples

But first things first.

What is Power BI?

When it’s about self-service data analysis and business analytics, all I can think about is Power BI.

For years, Power BI has proven to be the go-to platform for data analysis, modeling, and reporting.

Any user, skilled or not, can use it to pluck data from disparate cloud and on-premises.

And that’s not all.

From the data collected, you can create reports and build data models enhanced with an array of filters and visualizations.

It also lets you connect with dynamic sources like SQL and Dynamics to form graphs and charts that constantly update data as it streams in.

Power BI started as a free version.

Now there are three versions of the program, including the Power BI Desktop version, Power BI Premium, and Power BI Pro.

In this article, we’ll direct our focus to Power BI Pro and Power BI Premium to understand the difference between these two tiers.

Read on for more.

What is Power BI Pro? What is Power BI Premium?

Power BI Pro

Power BI Pro is Power BI’s full version.

You can use it for dashboard and report building, unlimited viewing, sharing, and consumption of reports (both created and shared).

Power BI Pro license is per user.

With a Power BI Pro license, you can upload up to 10 GB of data to the Power BI Cloud. It also allows you:

• The ability to share dashboards, datasets, and reports with other Power BI Pro users
• To create App workspaces and peer-to-peer sharing
• Local integration with Azure Data Services
• To embed Power BI visuals into apps like PowerApps, Teams, SharePoint, and more

Power BI Premium

Acquiring Power BI Premium allows you exclusive utilization of predetermined computing power.

Besides licensing all users, you’ll also be licensing the capacity of your dashboards, datasets, and reports.

You pay for both space and processing capacity you need to carve out for your business.

It comes with six capacity models with varying memories for you to choose one that you prefer to run your platform.

Premium is designed for enterprise-level businesses that generate large data amounts which require extensive access to the app.

Premium gives you the capacity to process your workloads plus all the necessary infrastructure and Microsoft support.

If you need to create and publish your reports, share your dashboards and collaborate in Power BI workspaces, you’ll need Power BI Premium and a Power BI Pro license.

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But if your goal is to access and consume content, Power BI Premium is enough to do the job.

Power BI Premium allows you:

• Large storage sizes for extensive deployments
• Increased data capacity limits and optimal performance
• Power BI Report Server
• Access to one API surface
• Geo distribution, isolation, read-only replicas, pin to memory, high refresh rates

You also get to store BI assets on-premises and receive a 50 GB cap on dataset size and up to 100 TB data storage.

Power BI Pro vs Premium – What’s the difference?

The difference between Power Bi Pro and Power Bi Premium comes down to performance.

Power BI Pro licenses users individually and allows you to create and consume content at the same time.

As a Pro user, you can connect to hundreds of sources, pull data, create engaging reports, and view 360-degree dashboards.

Most importantly, you’ll be able to share your content with other Pro licensed users and consume their shared content as well.

With Power BI Premium, you purchase a license for your content instead of licensing content users.

Your dashboards, datasets, and reports are stored in premium to be accessed and viewed by countless users at no additional per-user cost.

However, users can only view the content from the dashboards, web reports, mobile apps, or the organization portal/app. They cannot create it.

A content creator in Power BI Premium will need to have a Pro license.

This only means that Power BI Pro is best for you if you want to create and share your content internally.

On the other hand, you should go for Power BI Premium if your interest is to share your content with people outside your organization.

Note that Power BI Pro is inclusive with Office 365 E5 and Microsoft 365 E5 licenses. This is quite helpful, especially when deciphering between Office 365 E3 vs. E5.

Since Power BI Premium licensing is for actual datasets, you can purchase the licenses in different capacity sizes with different virtual cores and numbers of memory.

With time, you can scale as your data analysis requirements change.

You can later upgrade your licenses to accommodate your new power and storage requirements when your datasets grow.

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Power BI Pro vs Premium – Features

Power BI Pro

Power BI Pro is an individually licensed platform that lets you access all capabilities and content in the Power BI service.

So, if you have ten employees and need them to access the full capabilities of Power BI, you’ll have to pay for ten licenses.

Ideally, Power BI Pro is a full-strength Power BI that you can use for building reports and dashboards.

It offers unlimited data report viewing, consumption, and sharing, even those shared by other Pro users.

Features and functionalities of Power BI Pro include:

• Mobile app
• 10 GB storage per user
• Connect to more than 100 data sources
• 8 Data refreshes per day
• Power to embed the visuals in Power BI into apps like SharePoint, PowerApps, and Teams
• AI Visuals
• Embedded controls and APIs
• Create app work and peer to peer sharing
• Local integration with all the other Microsoft solutions
• Data security and encryption
• Share datasets, dashboards, and reports with other Power Bi licensed users
• Metrics with content creation and publishing

Power BI Premium

Power BI Premium is Power BI’s top-tier platform.

It offers on-premises deployment and distribution of reports. This means you can maintain your reports on-premises until you’re ready to move to the cloud.

Power BI Premium is intended to address large enterprise workload and deployment challenges.

Your business can use its dedicated capacity and hardware instead of relying on the shared capacity with Microsoft.

When providing this capacity, you must ensure it’s enough for analysis and reporting.

This will allow you large-scale and enhanced performance if adequately resized.

Microsoft provides three sizes for premium capacity, each with a different number of v-cores and memory size.

Power BI comes with considerably enhanced features and functionalities, including:

• 100 TB storage
• Data flow
• Application lifecycle management
• Geo distribution, read-only replicas, and pin to memory
• Analyze data stored in Azure Data Lake Storage
• 100 GB model size limit
• Access to one API surface
• Power to embed the visuals in Power BI into apps like Teams, SharePoint, and PowerApps
• XMLA endpoint read/write connectivity
• Larger storage size for extended deployment
• 48 daily data refreshes
• Advanced AI features
• On-premise reporting
• Multi-location deployment management
• 400 GB model size limit
• Azure Autoscale add on

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Power BI Pro vs Premium – Pricing Models

Power BI Pro

The Power BI Pro plan is currently going for $9.99 per user per month. This includes data governance, data collaboration, dashboards with a 360-degree view, and the ability to publish your reports anywhere. You’ll find pricing information here.

Power BI Premium

The Power BI Premium plan costs $4,995 a month. Just like Azure, this price scales as your resource requirements increase. The first premium tier ($4,995) is often sufficient for most enterprises.

But if you have a larger organization, Power Bi Premium has other tiers with more resources for a higher cost. You can use the Power Bi calculator to determine the level of premium you need. Check out their pricing models at Power BI’s pricing page.

Power BI Premium Per User

Microsoft came up with a new license structure – Power BI Premium per user for smaller businesses that require premium functionalities without having to pay the $5000 per month minimum price.

This license has most of the premium features except unlimited distribution and multi-geo support.

Table Summary: Power Bi Premium Features Per User & Per Capacity

The license is still under review, and probably some of the details will change. The pricing isn’t finalized too.

Power Bi Premium vs Pro: When to Choose What

Depending on your organization’s needs, data analysis requirements, and internal expertise, you’ll choose when to implement either the Power BI Pro version or the Power BI Premium version.

When to Get Power BI Pro

Power BI Pro is ideal if you’re a heavy business analytics user using it regularly for creating and consuming data. You’ll also be able to share dashboards, data, and reports with other users.

Your employees in different departments and roles can utilize Pro for dashboard sharing and publishing reports, ad hoc analysis, and analysis collaboration freely.

They’ll be able to publish, share, and export reports for all non-self-service BI users who can access them.

Power BI Pro can deliver maximum business intelligence capabilities for both large and small deployments.

Microsoft is offering a free trial to help you determine whether your business needs more functionalities and if your budget will allow it.

When you have to scale users to data, you’ve got more users viewing your reports than using a self-service BI.

Useful Post: How To Use Power BI On Mac

When to Get Power BI Premium

Power Bi Premium will work well for you if you have a large enterprise that needs many people across the business who’ll be using it to view reports and dashboards.

Power BI Premium will ensure your employees have a license. Apart from high performance, it also supports large data volumes. Your self-service Power BI Pro users will be able to share reports and dashboards freely.

If your business has more than 500 users, Power BI Premium will be a better investment. Your pricing per month will be worthwhile since it will be cheaper on the scale.

Power Bi Pro vs Premium – Pros & Cons

Power Bi Pro Pros

• The power to embed the visuals in Power BI into apps like Teams, SharePoint, PowerApps, etc.
• Create App workspaces and peer-to-peer sharing.
• Local integration with Microsoft solutions like Azure Data Services.
• Share reports securely with other Pro users or place the reports on Premium workspaces for sharing with free license users.
• Share datasets, reports, and dashboards with other Pro licensed users.

Power BI Premium Pros

• Dedicated capacity
• Ease of access for data/report consumers through company portal, mobile apps, and dashboards.
• Capabilities to consolidate both enterprise analytics and self-service analytics solutions.
• Share data with everyone without the need for per-user licenses.
• High scale and performance capabilities – Premium provides dedicated capacity from Microsoft, which ensures dependable, consistent performance. This is unlike shared capacity where workloads run on resources shared between organizations.
• Flexibility to license according to the organization’s capacity.
• High data set refresh frequency.
• It has a Power BI report server.

Also Read: Best Power BI Certification Courses

Power BI Pro Cons

• It’s expensive to purchase individual licensing for all users within the same company.

Power BI Premium Cons

• You aren’t able to manage dashboards or create reports.
• You have to purchase Power BI Pro user licenses separately for users to be able to create reports.

Power BI Premium vs Pro: Quick Tabular Glance at the Features

Power Bi Pro vs Premium – FAQs

What’s the Major Difference between Power BI Pro and Power BI Premium?

Power BI Pro is an individualized license that lets you access all the content capabilities. In addition, you’ll be able to create and share reports and collaborate with other Pro licensed users.

On the other hand, Power BI Premium supports large data volumes. It also offers the capacity to deliver consistent performance. It enables wide content distribution by Pro users without the need for Pro licenses for content viewers.

How Often Will You Refresh Data on Power Bi Pro?

You can only refresh your data eight times every day when using Power BI Pro.

How Big Should my PBIX Files be When Using Power BI Premium?

The maximum size for my PBIX files is 10 GB on Power BI Premium per PBIX. The maximum total storage is 100 TB.

So, if you have huge amounts of data, Power BI Premium will have the capacity to accommodate your data needs.

What is the Price for a Power BI Pro License?

The price for a Power BI Pro license is $9.95 per month/user. This will give you 10 GB of storage for every licensed user.

With this licensing also comes the ability to share your reports securely across the organization and also collaborate. But each user you share information with should be Pro licensed as well.

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How Many Users Will I Get When I Purchase a Power BI Premium License?

With a Power BI Premium license, you get an unlimited number of users. In this version, you have no user restrictions because the licensing is per organization.

You’ll also receive perks, including the ability to unlimited report sharing. Here you get to share your reports with users outside the organization too.

How is Data Embedded into Other Applications with Power Bi Pro?

The Power Bi data embedding in Pro is carried out with support from many applications, including Teams, SharePoint, and other SAAS applications.

You can also embed your Power BI reports into your own app using a single-user Power BI license. This will allow you to embed all Power BI capabilities into your application.

What Does It Mean By Dedicated Online Processing in Power BI Premium?

Once you subscribe to Power BI premium, your processing is fully dedicated, meaning that you won’t share your resources with any other organization.

For example, when you upload your PBIX files for processing, they will be handled immediately when received without being placed in a queue. This is vital for many close to real-time data metrics and applications that need monitoring and display.

How Does Power BI Pro Leverage Live Data Connections?

When you have live streaming of data, for example, through IoT devices or telemetry data streaming in from your applications, you are empowered with Power BI to leverage such data and live connections to support your custom datasets and dashboards within the Power Bi platform.

What is a Power BI Report Server License in Power BI Premium?

A Power BI Report Server License is an extension running on top of SQL Server reporting services. It offers you all the abilities of Power BI running within your organization.

This license is a huge value to your business if you want all the processing capabilities of Power BI to run on a secure server in your company.

If you have sensitive data, you want it kept within the confines of your company, and this report server license will guide you on how and where to deploy Power BI.

How Does Power BI Pro Give Access To The On-Premise Data Gateway?

If your data is onsite and you want to sync it with Power BI, you can connect the two through the on-premises data gateway. The data is often stored in a database such as MySQL, Maria, or SQL.

You can install a small piece of software to sync the data to Power BI and make sure you refresh it regularly. You don’t necessarily have to tie the data refreshing machine to Power BI.

How Often Do I Have To Refresh Data on Power BI Premium?

Power BI Premium gives you the ability to refresh your data 48 times per day or once every half an hour.

How is the Online Processing Environment Shared in Power BI Pro?

When you’ve already uploaded your PBIX data file and are waiting for it to be processed in the BI cloud, you’ll be utilizing shared computing power on a hosted cloud server.

This means that your file will be in a queue for processing, which may take little or a lot of time to complete depending on the existing availability.

This is more or less similar to the shared hosting space on the webserver, where resources are shared by all Power BI Pro users.

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Power BI Premium vs Pro: Which Should I Choose?

If I were to choose between Power Bi Pro and Power BI Premium, I would opt for the premium license because it’s licensed based on content capacity.

Even though I may have to pay more for report creation, dashboard, and data sharing capabilities, subscribing to premium is beneficial in the long run.

This is most especially when my organization will be growing and needing more of the Power BI Premium features like large amounts of space allocation, unlimited data streaming, and more.

With a larger number of users to create reports, my organization will be able to process and make the most out of larger volumes of data.

Using Power BI Pro will be cheaper, with plenty of capabilities and features to utilize for the benefit of the business, including optimal performance and widespread content distribution.

The post Power BI Pro vs Premium – What’s The Difference? appeared first on Rigorous Themes.

It allows users to analyze data from big data sources and present them using various visualization techniques. With insights gained from breaking down these large amounts of data, Tableau users gain real-time actionable insights into customer behavior and business trends.

There are several alternatives to Tableau such as Apache Superset, Grafana, Zoho Analytics among others. Though the best open-source alternative to Tableau is Power BI. Not only is Power BI ultra robust but offers powerful business intelligence features.

Why discover open-source alternatives to Tableau?

However, just because it is a valuable solution doesn’t mean it is ideal for everyone. Mainly because it can be costly for a lot of businesses.

Also, users have to be well-versed analysts to take full advantage of its capabilities. Acquiring this level of experience can be equally expensive for business owners, whether by recruiting new staff or training in-house.

On top of that, Tableau’s features still have some ways to go when performing non-visualization business intelligence analysis, such as large-scale reporting.

For these reasons, many individuals and businesses want alternatives to Tableau and not just any kind. Open source alternatives are cheaper (most are free), and they are more likely to have advanced features that cater to the specific needs of analysts.

In this article, I discuss ten open source business intelligence tools that are worthy alternatives to Tableau.

Best Open Source Tableau Alternatives

1. Apache Superset

Apache Superset is a cloud-based application used for data visualization and data exploration. It was created by Maxime Beauchemin, who also designed Apache Airflow, a workflow management platform.

The open source project has Apache License 2.0, which allows anyone to use it for any purpose and modify and distribute it or a modified version of it. That means compared to Tableau, which has a minimum price of $15 per month for Tableau Viewer, this software is entirely free.

That’s not to say there is a massive drop in quality if you opt for Superset. It has several features, including many visualization tools to analyze data and present them on a dashboard.

Also, compared to Tableau, you are not limited to the features you pay for. Apache Superset supports custom visualizations, and you can extend its capabilities with its visualization plug-in architecture.

When it comes to business intelligence tools, supported data sources are an important feature to consider, and Superset equally performs well. It supports most SQL databases using SQLAlchemy.

As a result, you can integrate data from sources like MariaDB, Oracle, Microsoft SQL Server, MySQL, PostgreSQL, and several more.

Additionally, it integrates with Apache Druid, a database used by applications for fast query performance and real-time responses, with reliable uptimes.

Lastly, you get an impressive level of security for your data and business insights with this software. It has an extensible security model that allows administrators to control users’ access to different features.

The security feature also includes integration with multiple authentication providers, such as OAuth, database, OpenID, LDAP, and a couple more.

2. Talend Open Studio

Talend Open Studio is one of the products from Talend, a software company that provides cloud and data services for businesses and individuals. Despite its commercial leanings, Open Studio is a free open source project accessible to all kinds of users.

Similar to Tableau, Talend Open Studio is not one single piece of software. Instead, it is a suite of open source tools for extracting, transforming, and loading datasets into databases and applications. When combined, users can use them to crunch data into a usable format.

There are four components to Talend Open Studio:

• Talend Open Studio for Data Integration – for managing ETL processes
• Talend Open Studio for ESB (Enterprise Service Bus) – managing APIs
• Talend Open Studio for Data Quality – data visualization tool with drill-down capability
• Talend Open Studio for MDM – client-server framework for data management

All four components make this alternative a particularly robust option to services offered by Tableau, with the added advantage of being free. However, its Data Integration component provides the most considerable advantage as a business intelligence tool.

It integrates with any data type from any source, including Oracle, Microsoft SQL Server, and Teradata. Besides that, you can also use it to map raw data and load it into a database using a graphical tool.

And if you have multiple datasets, you can convert them into any of the standard BI formats, including SPSS, Splunk, OLAP, and Jasper. Lastly, visualization is not its strongest suit, but you can still present data using different charts.

Overall, Talend Open Studio is a helpful alternative to Tableau, especially for direct marketers.

3. Grafana

There are different aspects to Tableau as a business intelligence tool. You have to identify your individual or business needs to find a suitable alternative. Grafana is an excellent option if you are looking for analytics and visualization software, even though it offers more than that.

It is a multi-platform program available to macOS, Windows, and Linux users. It is one of the few open source options with name recognition similar to Tableau. Although free, it has an enterprise version used by multinational companies like Bloomberg, PayPal, and eBay.

Grafana is a great tool for visualizing time series data with support for different databases when it comes to visualization. This includes Prometheus, InfluxDB, and Graphite. It also works well with relational databases like MySQL and Microsoft SQL Server.

While Tableau is equally capable of this, Grafana’s open source status means you can add additional data sources and visualization tools to the program with a plugin. And because it is a popular software, you don’t have to write the code yourself. Other users have created many add-ons.

Perhaps the most significant advantage of using Grafana as a Tableau alternative is its alerts feature. Users can send and receive alerts about data events via any communication channel, including Slack and PagerDuty.

You can also manually set up scenarios and events, which is helpful in confirming hypotheses or getting ahead of a potential problem. While Tableau has a similar feature, it is not as robust and only supports email notifications.

Add the ability to visualize world maps, and Grafana is one of the ideal open source alternatives for small and large-scale businesses.

4. Zoho Analytics

Zoho Analytics is another well-renowned open source alternative to Tableau. Designed by the Indian company, Zoho Corporation, it is a great tool that helps businesses analyze data and create useful visual reports.

It has extensive data integration with over 250 databases. You can connect data from files, feeds, business apps, as well as SQL and NoSQL databases.

There is also a myriad of data visualization tools that allow users to create insightful, understandable, and aesthetically pleasing dashboards. You can use charts, widgets, and combine multiple reports into tabbed dashboards.

Zoho Analytics also comes with Geo visualization, allowing you and your team to compare and analyze important metrics across different countries and regions. You can also use geographical metrics like latitudes and longitudes.

More uniquely, the BI tool has augmented analytical features like Zia, an AI that provides contextual and actionable insights. It is also a conversational assistant that offers clear and critical analysis with natural language.

It also supports collaboration, with features like sharing reports and dashboards, contextual comments, and threading. You can also publish reports and dashboards to non-users and embed them in web pages.

Like Tableau, the software is available as a cloud and On-premise service. However, there is a completely free version of the latter, albeit with limited features. It allows only one user at a time with access to a maximum of 10,000 records.

However, you can create unlimited reports and dashboards as well as five workspaces. The paid plans, which come with additional features, are cheaper, with a 15-day free trial for all four payment categories.

5. Microsoft Power BI

No list of the best Open Source Tableau alternatives would be complete without Microsoft’s Power BI. The software is one of the market leaders in the business intelligence space and part of the company’s modern slate of user-friendly products accessible by amateur and non-technical users.

It is available on different platforms, on desktop and mobile devices, across Android and iOS. There is also a web-based version accessible via any browser and embedded and report server versions. It is also cheaper, at least at the base level, but more on that later.

Power BI is an excellent option for teams that already use Microsoft products like Azure, Excel, and SQL. The BI tool uses these technologies to create data visualizations easily.

It comes with API access and pre-built dashboards for several popular technologies like Salesforce and Google Analytics. It is also capable of integrating data from local files. Overall, the software supports more than 70 cloud and on-premises data sources.

When it comes to dashboard creation, Power BI has drag-and-drop features, allowing users to build visualizations quickly and easily. There is also real-time data access, enabling instant reactions to business changes.

Additional valuable features include visualized metrics that link to datasets and reports. There is also a natural language query tool that allows you to ask questions about the data, contributing to the overall user-friendliness of the software.

Power BI and Tableau might be evenly matched in their feature offerings, but the former is significantly more accessible for baby data analysts. It has a free version available for individual use, and its Pro version costs $9.99 per month per user.

6. BIRT

Business Intelligence and Reporting Tools (BIRT) is a software project that has been around since 2005, developed by the Eclipse Foundation. It is a robust tool capable of data extraction, exploration, and processing using dashboards and visualizations.

It is available on Windows, macOS, and Linux,

BIRT supports access and integration of data from a long list of sources out of the box. This includes standard SQL and NoSQL databases. Others are XML and web services, JDO datastores, POJOs, and JFire scripting objects.

Being an open source software, users can also integrate additional sources using the Eclipse ODA framework, irrespective of type. It is possible to connect to data sources from platforms like LinkedIn, Facebook, GitHub, Salesforce, and several more.

Its data visualization capabilities include support for a wide range of reports, with different layouts and formatting. BIRT also has a vast library of common and uncommon charts that users can create in 2D and 3D formats.

The BI tool also comes with admirable publishing and sharing features. It allows the embedding of reports and dashboards into rich client and web applications. There is also an email sharing option.

Like Tableau, it has dynamic report pagination, an integrated table of content, and exporting in several formats. Other ease-of-use features include dashboard filters, sorting, and grouping of specified data sets.

Lastly, BIRT is easy to use for experienced coders and data analysts. Still, the program has documentation and tutorials to help new users master the program. There are also plenty of free online tools to learn the software.

7. Plotly-Dash

One of the key selling points of Tableau as a BI tool is that users with zero technical backgrounds can use it to extract valuable insights from big data. The same goes for this open source alternative.

Plotly is a software company that develops data analytics and visualization tools. It is also a visualization library for Python, R, MATLAB, and other languages. This quality allows you to manipulate data in any way you like, something Tableau does not have. Certainly not to this level of capability.

Dash is its open source framework that enables anyone to build web-based analytic applications. Besides being able to piggyback off Plotly’s unique advantages, it also allows interactive visualizations.

Far more than simply creating static charts and graphs, Plotly-Dash’s visualization allows for a better and humane storytelling experience. You can zoom in and out, generate panning graphs, and it has a point value display.

Plotly also allows for customizable interactive tools like dropdowns, sliders, and buttons, providing access to different perspectives of graphs.

What’s more, Plotly-Dash is one of the best data visualization software when it comes to collaboration. Tableau offers this feature with its Tableau Server and Tableau Online products, but it is free with Plotly, and you get all the advantages of a highly customizable data analytic software.

Finally, because it is an open-source arm of a commercial company, there is access to official and community support. The company provides extensive documentation that covers practically everything you need to know about Plotly.

There is also an active forum where you discuss with other users and gain additional insights on how to get the best out of the product.

Also Read: Misleading Data Visualization Examples

8. RAWGraphs

Unlike other Tableau alternatives discussed so far, RAWGraphs is a web-based data visualization tool that makes it easy for anyone to work with different data sets. There is no software to download. All you need is a functioning browser and a strong internet connection.

However, suppose you have the technical expertise. In that case, you can run it locally on your computer by selecting the ‘Fork it on GitHub’ option from the homepage.

RawGraphs works with different data sources. It supports CSV and TSV files and copied-and-pasted texts from spreadsheets like Microsoft Excel and Google Spreadsheets. The visualization tool also works well with CORS-enabled endpoints.

The tool also allows you to export visualizations as vector and raster images, which you can embed in web pages. While it is also possible to embed graphs with Tableau, it is impossible without the Tableau banner.

Designers and vis geeks designed the tool, so there are plenty of visual models to choose from. Be it conventional or unconventional layouts. There is also an option to build your own model.

Data security will be a significant concern because it is a web-based application, especially if it involves proprietary data. However, there are no server-side operations when you use RAWGraphs, and there is zero data storage.

Lastly, RAWGraphs was built using the d3.js library and released under the Apache 2 license. So, not only is the source code highly customizable and compatible with any JS framework, it is free to use and modify, even for commercial purposes.

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9. Metabase

Open source alternatives to Tableau tend to be free, making them attractive to freelancers and small businesses. But even business intelligence tools with a commercial component like Metabase are also cheaper on average.

Beyond its pricing, Metabase offers a similar USP as Tableau, i.e., a data analytics tool accessible by tech-savvy and non-savvy users. It provides a simple way to generate charts and dashboards and perform queries without using SQL.

Expectedly, the paid version offers a lot more features than its open source version. Still, there are plenty of features to enjoy for free too. That includes self-hosted deployment, unlimited charts and dashboards, and support for over 20 types of databases.

Metabase also offers more than 15 visualization options, and you can schedule updates via email or Slack. And if these out-of-the-box features are not enough for your needs, you can extend the software’s capability or download any of the 2000+ GitHub forks.

The software is also incredibly user-friendly, with an intuitive user interface and features like quick summarization and notebook editor. Its dashboards also come with filters for drill-down analysis, and users can receive alerts for events via email and Slack.

Users can also embed individual charts or entire dashboards on web pages, as long as they don’t mind a branded watermark.

Aside from its accessible design, Metabase is multi-platform. It can be installed on desktop and mobile devices, making your data available anywhere you are.

Furthermore, the company provides comprehensive documentation for the program, and you can access additional support from the developer community.

Interesting Comparison: Tableau vs Power BI

10. Redash

Redash is another good alternative to Tableau worth considering for your small-scale business. Or you are learning the ropes of data and business analytics.

It is an open source collaborative visualization software owned by Databricks. It can be hosted on a private server and is compatible with any operating system. However, users can also access it via any browser like Chrome or Mozilla Firefox.

And while its open source status allows you to make additions of your own, self-hosted users receive regular updates for bug fixes and new features.

Like Tableau, it is designed to enable anyone to extract and share data insights with teams regardless of their technical expertise. It comes with several excellent features that make Tableau a popular choice.

That includes visualization sharing, query editor, dashboards, alerts, and broad support for data sources, whether SQL or NoSQL database. Its SQL interface is particularly intuitive to anyone familiar with SQL Server Management Studio, PgAdmin, or any querying GUI tool for databases.

The analytic tool also supports API and Big Data sources like Google Analytics, JIRA, Salesforce, and a few more.

It also comes with a REST API, allowing users to execute every action within the program via another application.

Furthermore, it is one of the few open source alternatives on this list designed specifically as a Business Intelligence tool. As such, it comes with additional features like Key Performance Indicators, Scorecards, as well as the ability to publish and share dashboards and charts privately and publicly.

The Best Alternative is…

All the software programs discussed above are some of the best options to consider, and the right choice for you depends on who will use it and their level of expertise.

However, Power BI is our winner. It strikes a perfect balance between advanced features, ease of use, especially for new analysts, and pricing. Combined with its popularity and smooth integration with other Microsoft products, it is the best alternative to Tableau.

The post 10 Best Open Source Tableau Alternatives 2024 appeared first on Rigorous Themes.