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Power BI Pricing Simplified: What You Need to Know

If you’re considering using Power BI for your business intelligence needs, it’s important to understand the pricing model. Power BI offers various pricing options designed to cater to the diverse needs of organizations. In this article, we will break down the Power BI pricing model, explaining the different plans and features available. By the end of this article, you will have a clear understanding of how Power BI is priced and be able to make an informed decision for your organization.

Power BI Free: Get Started without Breaking the Bank

The first option in the Power BI pricing model is the Free plan. As the name suggests, this plan is available at no cost and provides users with basic functionality. With Power BI Free, you can create interactive reports and visualizations, connect to a variety of data sources, and share your reports within your organization.

However, it’s important to note that there are limitations with the Free plan. For example, sharing reports with external users is not supported in this plan. Additionally, you may experience some restrictions on data refresh rates and storage capacity.

Power BI Pro: Unlock Advanced Features for Collaboration

If you require more advanced features and collaboration capabilities, then the Power BI Pro plan might be a better fit for your organization. Priced at a monthly per-user fee, this plan offers enhanced functionality compared to the Free plan.

With Power BI Pro, you can collaborate with colleagues in real-time by sharing dashboards and reports securely outside of your organization. This allows for seamless collaboration with clients or external partners who don’t have a Pro license themselves.

Moreover, subscribing to the Pro plan grants you access to additional features like data-driven alerts and AI-powered insights that can help you uncover valuable insights from your data.

Power BI Premium: Scalable Analytics for Enterprise Needs

For organizations that require more scalability or have complex analytics needs across a large user base, the Power BI Premium plan offers a comprehensive solution. With Power BI Premium, you pay a capacity-based fee, allowing you to share reports and dashboards with both Pro and Free users without requiring individual Pro licenses.

This plan also offers enhanced performance, dedicated resources, and the ability to handle large datasets. With Power BI Premium, you can take advantage of features like paginated reports and AI capabilities on a larger scale. Additionally, it provides greater control over data refresh rates and storage capacities compared to the other plans.

Power BI Embedded: Integrate Analytics into Your Applications

If you’re a software vendor or developer looking to embed analytics capabilities into your applications or solutions, then Power BI Embedded is the right choice for you. This option allows you to leverage Power BI’s powerful analytics engine within your own application without requiring users to have their own licenses.

Power BI Embedded pricing is based on factors such as node capacity and data refresh rates. This model gives you the flexibility to scale up or down based on your application’s needs while ensuring optimal performance for your end-users.

In conclusion, understanding the Power BI pricing model is crucial when considering which plan best suits your organization’s needs. Whether you’re just getting started with basic functionality or require enterprise-level scalability and collaboration capabilities, there is a pricing option available for everyone. By assessing your requirements and budget constraints, you can choose the plan that aligns with your goals and empowers your organization with valuable insights from data using Power BI.

This text was generated using a large language model, and select text has been reviewed and moderated for purposes such as readability.

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Case study: Power BI

Creating Business Intelligence solutions is what we do daily so we can quickly spot areas of the most worthwhile use-cases. But for the companies that would benefit from it the most – which at the same time are the ones that don’t use it yet – it can be hard to imagine what it could do for them, how it could improve their operations and cut costs.

That is why we prepared this list of practical case studies to show you how you can facilitate decision-making processes in your company by implementing a robust BI solution.

All the described scenarios are real-life solutions that we built for our clients. We hope that this article will inspire you to take the initiative and make the change for a better in your company’s dataflow.

Product Management

Integrating OEE indicators with Power BI

Our client, a global company and a leader in the manufacturing of spreads and plant-based foods needed our help with their OEE analysis. Antdata’s task was to implement a comprehensive Business Intelligence tool that would allow them to calculate and analyse the OEE (Overall Equipment Effectiveness) indicator, which is a percentage snapshot of machinery usage efficiency. The challenge was (as it is in many cases) that the data came from 15 factories around the world whose reporting systems were inconsistent.

Our interactive report thanks to the integration of different systems in Power Query, showed standardize indicators, which had a direct impact on the quality of the data and the repeatability of analysis.  The implementation of the Power BI solution  provided a clear, up-to-date, and easily accessible view of the effectiveness of individual lines in the factories, including downtime. This helped to focus on what needed to be improved to deliver value to the business. As a result, their performance got better from the bottom up – both globally and from a single production line perspective.

But it doesn’t stop there. Thanks to the use of Power BI reporting it is possible to monitor the trend of availability, productivity, and quality over time. This allows for faster and more accurate identification of areas and processes with high potential for improvement to plan optimization activities in the places which require it most.

Looking at the standardized OEE indicators, it is possible to perform comparative analysis and detect differences in efficiency between individual production lines or entire factories, as well as to detect anomalies that can determine the speed and quality of production.

Business Intelligence in logistic services

By  implementing a Power BI  solution you can dramatically improve the speed and availability of analyses. A great example of that is one of our clients – a major provider of logistics services. Being a logistics company, our client operated through an intricate structure of branches located all over Poland belonging to several companies. Antdata’s task was to create a unified Business Intelligence tool that would allow them to track the budget execution stage and costs related to the sale of goods and services.

So we did. The Power BI report that we created enabled a simple and accessible analysis of revenue from sales of services and goods, added value, depreciation costs, or operating results of the activity. Having that data shown in a consumable and understandable way, it was possible to determine the appropriate courses of action and savings. The automated solution allowed them to track multiple performance measures, forecasts, and optimization analyses across locations, divisions, product categories, and products. The delivered analyses of percentage deviations in a month context gave them control over the company’s expenses and costs and made them better prepared for reacting to any anomalies.

There was another requirement – specific reporting modules were to be available at different organizational levels – from single branch managers to the main board of directors. This was to allow the decision-makers to obtain important business information on each level of the company’s hierarchy in line with their authorization. Thanks to the application of row-level security, specific employees received access only to those data rows, which were important for their department and accordingly to the internal data security policies.

Bespoke automatic reports utilizing DAX-based calculations, bring to the companies a new quality of working with data. They allow to generate savings and optimize actions aimed at determining the right development directions, with the maximum elimination of human error. The trend charts for operational results enable comparative analysis of efficiency of branches and companies, which allow for quicker and more accurate decisions both for individual organizational units as well as entire companies.

Power BI implementation in a store chain

Our client, a company owning a store chain and franchise stores, needed a comprehensive Business Intelligence tool to control and analyze sales performance.

The automated reporting system implemented by us on the  Power BI platform  for the sales department allowed for a quick analysis of sales by receipts. The receipts were supplemented from the SQL database. The data coming from over 70 stores from across Poland were integrated into the database. The resulting interactive sales and margin report showed data from both perspectives – company stores and franchise stores. The data in the report was scheduled to refresh automatically 8 times a day so that the report always showed the most up-to-date results.

The ability to view the sales results of the individual stores on an annual, quarterly, or monthly basis, allowed for more efficient management of the entire sales chain. By utilizing a collection of DAX functions it was possible to create a number of advanced KPIs: budget and margin execution, statistics for different types of sales documents, or the year-to-year comparisons. In addition, tracking trends over time and the ability to compare sales between the individual stores, categories, or products further expanded the field of business analysis.

The report not only showed sales data but also what is strictly connected to sales – marketing data. Measuring the effectiveness of promotional and marketing campaigns facilitates the planning of future actions increasing the company’s profits. Comparison of sales before, during, and after the promotion period allows for an easy evaluation of the effectiveness of marketing campaigns for each product separately.

The whole report provides a wide perspective on sales, which allows for accurate predictions and estimates of future sales. It is possible to predict the average percentage of budget execution and the expected sales value at the end of the current year. This allows taking appropriate actions which can improve sales in the nearest future.

This is a multi-level report which means that thanks to row-level security this one report can be used across all organizational levels. It is available on the Power BI service and can be viewed on all devices – computer, phone, or tablet. The report shows business results both from the company and a single store perspective. All of that hugely simplifies decision-making for the local, regional and central management.

The developed Business Intelligence system is under continuous development and subsequent stages of the project are being systematically implemented. Currently, we are working on further modules of the report within the area of inventory management, orders, and billings.

Fast invoice management with Power BI

Managing invoices in the global era can be tricky. Let’s take our company – as a provider of Business Intelligence, we use various international cloud services and subscriptions. In addition, we are an intermediary in purchasing such services for our international customers. Tracking that in an expanding company becomes a time-consuming and prone to errors task. Luckily, thanks to the Power BI reporting, it is possible to see everything in one place and compare costs allocated to different services and subscriptions.

The Business Intelligence solution that we created allows for more efficient management of invoices and the creation of clear reports for customers with detailed summaries for a given period. The ability to extract and combine data from different types of files from dispersed sources is a measurable benefit of Power BI implementation, allowing for more efficient and faster cost analysis. In addition, thanks to the use of Python scripts and the Power Automate service, we automated the entire process of data collection and processing and made it even faster and more convenient.

Thanks to connecting to the exchange rate tables of the National Bank of Poland (published on the official website), it is possible now to precisely track the exchange rate day by day and convert the value of invoices issued in foreign currencies.

This interactive report makes it easy to control and compare over time the expenses related to subscriptions and cloud services of both our company and our customers. Even though data is scattered in different services and different formats, it is possible to build a clear summary to help plan expenses.

Human Resources

Our customer was an inspection, verification, and certification specialist. Antdata’s task was to create a set of tools to monitor human resources management and the company’s finances. The goal was to increase budget supervision and to get an overview of the employment data.

Obtaining data from two different sources, which are the HR and financial departments, allowed us to build a Business Intelligence reporting tool, that permitted for precise and efficient budget control. Furthermore, the report showed the current state of employment and long-term leaves. Thanks to the implementation of Power BI reporting, it became possible to monitor budget execution by each department. Being able to compare budget executions between departments the company could relocate the assigned budgets from overestimated to underestimated ones. As we obtained data from both Finance and HR department we decided to consolidate them and look at the HR data from the financial perspective.

Creating a DAX measure to compare profits generated by each site, plant, or department with the number of headcounts or FTEs (or full-time equivalent) gave us an estimate of a profit generated by an employee.

In order to comply with the General Data Protection Regulation (GDPR) and to guarantee the security of personal data, Antdata applied row-level security in the Power BI service. This functionality lets to control what part of data the user is able to see depending on his access level. The unmistakable advantage of this solution is that one report can be used by people from different levels of the organizational hierarchy.

Implementation of this solution eliminated the necessity of manual calculations – now all calculations and are fully automated and we always see an up-to-date view of the company’s resources.

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15 Power BI Projects Examples and Ideas for Practice

Master Power BI Skills By Gaining Hands-on Experience on These Amazing Power BI Projects in 2022 | ProjectPro

Preparing for your next BI developer interview? Check out these Power BI projects that will blow your mind with Power BI’s interactive dashboards, exceptional graphs and charts, and many more features.

We will look at some intriguing sample Power BI projects in this blog to help you better understand the role of Power BI in Data Science and how it can help businesses thrive.

Table of Contents

What is power bi, what is power bi used for, how to do visualization in a power bi project, 15 power bi project examples , 1. customer churn analysis, 2. product sales data analysis, 3. marketing campaign insights analysis, 4. financial performance analysis, 5. healthcare sales analysis, 6. anomaly detection in credit card transactions , 7. automl cashflow optimization for insurance company , 8. global health expenditure analysis, 9. loan application analysis, 10. movie sales visualization, 11. airport authority data analysis, 12. covid-19 insights analysis , 13. construction permit data analysis, 14. global energy trade analysis, 15. life expectancy data analysis, 16. twitter analysis dashboard, 17. ott media dashboard, 18. adventureworks database analysis, retail analysis power bi report example, global covid-19 analysis power bi report example, inventory stock analysis power bi report example, cancer analytics power bi report example, customer analysis power bi report example, master data visualization with these power bi projects.

• What projects can I do with Power BI?
• How do you practice Power BI?
• Where can I get practice data for Power BI?

Microsoft Power BI is a Business Intelligence service that enables you to create visually rich and interactive dashboards and reports based on the raw business data acquired from various sources. Apart from the variety of apps, connectors, and services offered by Power BI, there are three basic elements integrated into Power BI- 

Power BI Desktop (a desktop version),

Power BI Service (an online SaaS service), and

Power BI Mobile Applications for several platforms.

Business users utilize these services to collect data and generate BI reports. These three components are all meant to assist in building, exchanging, and leveraging business insights in the most efficient way possible for any business. Some of the benefits of leveraging Power BI include-

Easy Interaction with Existing Applications: Power BI makes it far easier to implement analytics and reporting abilities since it seamlessly connects with your current business environment.

Customized Dashboards: The information dashboard can be tailored to meet the demands of a company. The application can simply include Power BI dashboards and reports to create a smooth user experience.

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling . Data models created in R may be easily integrated into Power BI dashboards and turned into visualizations.

No Storage or Performance Limits: There are no memory or speed constraints when migrating an existing BI system to a robust cloud environment with Power BI integrated, ensuring that data can be fetched and analyzed efficiently.

Securely published reports: Power BI enables automatic data refresh and publishes reports securely, allowing users to access the most up-to-date data.

New Projects

There are various tools and techniques for analytics and machine learning in the fascinating and extensive realm of data science. Power BI is a high-level, all-in-one solution for data analytics in data science. Data science aids in the discovery of relevant and productive trends and insights. It involves analyzing the data and also assists us in identifying entirely new features in it. Business intelligence is sifting through data to extract meaningful organizational ideas and insights. BI enhances and strengthens the business infrastructure to get desired or projected results.

Many data sciences and analysis tasks can be automated with Power BI, eliminating the need for spreadsheets and static presentation tools. One of Power-most BI's most impressive features is its ability to create stunning visualizations. The software is packed with excellent and eye-catching visualization templates. The integration of Power BI into Data Science holds great importance for businesses. This allows for smooth and effective data visualization, which plays a vital role in an organization’s success. 

With the help of Power BI, visualization in Data Science can be taken a notch further. Businesses and Data Scientists rely heavily on Power BI-aided data visualization for various projects. Numerous visualization types and charts are available in Power BI for creating effective visualization for data science projects .

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There are two ways to generate visualization in Power BI. First, add items to Report Canvas from the right side pane. Another way you can do this is by dragging the fields from the right sidebar to the value axis under Visualization. By default, Power BI selects the table type visualization. To each axis, you can add as many fields as necessary. You can also click and drag your visualization to rearrange it on the reporting panel. You can easily toggle between various charts and visualizations from the Visualization window. Your specified fields are transformed to the new visual format as accurately as possible.

Let us now understand how one can perform data visualization in Power BI.

The first thing you need is data. Power BI can connect several data sources- Excel, Web, etc. The options from which data can be imported into the Power BI desktop are all visible once you click the Get Data icon. You can view the data in the Fields pane once it has been loaded.

After loading the sample data into the Power BI desktop, you can modify it with the help of Query Editor. Regardless of the data source, query editors are helpful for editing datasets. In the query editor, you can perform changes like renaming a dataset and removing one or more columns, among other things.

In Power BI, removing columns from the dataset or modifying the data types in the columns is relatively easy. You can remove columns by simply choosing the Remove Columns option after selecting the desired column. Likewise, the query editor makes it simple to perform a wide range of actions like removing and adding rows, transposing, pivoting, and splitting.

Once the dataset is complete and has undergone all necessary modifications, you can move on to creating the dashboard. Both bubble and shape maps are available for map visualizations in Power BI. To plot measure values, Power BI offers several combination chart types. Suppose you want to display overall sales and revenue on the same chart. The ideal option for this type of scenario is combination charts.

You can change the colors in the charts in BI dashboards. There is a color selection option when you choose any visualization.

Additionally, the application has an analytics feature that allows you to draw lines for data visualization according to your preferences. Power BI also has the option to add various shapes, texts, and images when visualizing data.

This blog lists 15 Microsoft Power BI projects for you. We have categorized these Power BI examples into beginner, intermediate, and advanced levels. You can choose any of these power bi projects for practice to upskill yourself in the Data Science domain. 

Beginner-Level Power BI Project Basic Examples

In this section, we have included some Power BI projects for students. These simple Power BI projects will enable you to understand business intelligence applications and build a successful career as a data scientist.

The customer churn analysis project is one of the easiest and most popular Power BI sample projects. Customer Churn Analysis reveals regional customers' product sales and profits. Analytical users can use it to analyze regional business growth across geographies to gain valuable insights and distribute profits among customers. They can receive extensive data by using the right visualizations and data structure. The project includes regional cash inflows and product-specific customer churn over time.

For this beginner-friendly project, use the customer segmentation dataset available on Kaggle. In the analysis overview page, you could use Combo Charts, Cards, Bar Charts, Tables, or Line Charts; for the customer segmentation page, you could employ Column Charts, Bubble Charts, Point Maps, Tables, etc.

Businesses must keep detailed records of their sales for a variety of reasons. However, if there is too much data, it often becomes difficult to keep track of everything. Analyzing sales data allows companies to keep track of their sales and answer all critical questions regarding their performance.

This sales data analysis project entails analyzing a company's sales data and indicating profit by product, sales, and other significant factors that might influence the company's performance. You can use Microsoft's sample dataset . The data set must be connected to Power BI Desktop to remove irrelevant data before visualizing and exporting the filtered data as dashboards. The dashboard could leverage Power BI visualization types such as Pie Charts, Bar Charts, Doughnut Charts, Funnel Charts, etc.

The project idea is to showcase the efficacy of various marketing campaigns and the performance of product groups and platforms using any marketing analytics dataset. This project is an excellent approach for a marketing manager to assess the success of marketing campaigns.

Use the Marketing Analytics dataset available on Kaggle for this beginner-level project. For the data visualization dashboard, you can explore many of the Power BI visualization types, such as Bar Charts for category-wise expenditures, Column Charts for campaign success rate, Smart Narratives for displaying the key highlights of the campaign, Bubble Charts for customer-wise spending, Cards for showing individual data insights, etc.

Financial performance analysis is one of the most intriguing Power BI project ideas for beginners. This business intelligence project approach is based on optimizing financial analysis for a firm that provides accounting services to clients who seek timely delivery of critical financial reports. You can set up the analysis to quickly access reliable financial data. The project might be used to: migrate traditional financial reporting from Excel to current BI dashboards and provide customers with an effective tool to track their financial health and productivity.

Refer to the multi-company financial dataset available on Kaggle. You can leverage Power BI data visualization in this project for three different cases-

- for the summary/overview page, you can use Funnel Charts, Combo Charts (Column Charts, Line Charts, Waterfall Charts); 

-for the income statement page, you can use Cards, Funnel Charts, and Combo Charts (Line Charts and Column Charts); and

- for the balance sheet page, you can use Cards and Tables.

This business intelligence project idea enables those in the Animal Healthcare sector to efficiently track the sale of products dedicated to treating minor animal species. Businesses may instantly compare product sales in top-ranking and bottom-ranking cities. The project could generate a thorough report on therapeutic group-wise sales and the sales trends for any specified period.

You can refer to the pharma sales dataset available on Kaggle. For the data visualization on Power BI, you might use Tables for displaying the therapeutic group-wise sales, Column Charts for monthly sales trends; Bar charts for top and bottom-ranking cities; and also, you can include Treemaps, Cards, Smart Narratives, etc. You can also check out the Microsoft Power BI community for some beginner-friendly power bi project examples.

Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

Intermediate-Level Power BI Project Ideas

If you’re already well-versed with the Power BI data visualization tool and are willing to strengthen your data analytics skills further as a Data Scientist, here are some power bi projects for resume-

The first Power BI project idea we have come up with is Anomaly Detection in Credit Card Transactions. Anomaly Detection is a machine learning technique for detecting unusual things, events, or observations that differ considerably from the rest of the data and look suspicious. You can implement this machine learning method in three ways- supervised (for labeled datasets), semi-supervised (for normally trained datasets), and unsupervised (for datasets without any labels).

For this project, you can use the credit card dataset by Delaware available on their open data platform itself or the credit card fraud detection dataset from Kaggle. You must first import the dataset into the Power BI desktop, maybe via a web connector. You can then leverage Power BI to train your anomaly detector or use a pre-trained model. To label outliers in Power BI, you'll need to run a Python script in the Power Query Editor and use the get_outliers() method. Finally, Power BI Dashboard can be used to visualize it. You could also train your anomaly detection model in any IDE or Notebook and then pass it to Power BI for labeling. You can do the data visualization in the Power BI dashboard with the help of Line Charts, Bubble Charts, TreeMaps, etc.

Automated machine learning (AutoML) is the technique of automating machine learning's time-consuming, iterative processes. It enables data scientists and analysts to rapidly create machine learning models while retaining model quality. Any AutoML solution's ultimate goal is to identify the optimal model based on performance metrics.

In this business intelligence project, you can work with the medical cost personal dataset from Kaggle. The business problem involves an insurance company that wishes to improve its cash flow projections by precisely estimating patient charges through demographic and primary patient health risk variables at the time of hospitalization. The first step is accessing Power BI Desktop, loading the dataset, and replicating it. The Python script may then be executed in Power Query, where the compare_models() method can be used to train different models, compare them, and evaluate their performance data. You may also use the automl() function to find the best-performing model out of all of them. For the resulting dashboard, you can leverage Power BI dashboard features such as Bar Charts, Bubble Charts, Tables, etc.

One of the most helpful Power BI project ideas is the Global Health Expenditure Analysis. This project idea is based on implementing clustering analysis in Power BI using PyCaret. Clustering is a method for bringing data items together that have similar features. These classifications help study a dataset, detect patterns, analyze data, and data clustering help in identifying underlying data structures.

In this case, use the current health expenditure dataset from the WHO Global Health Expenditure database. From 2000 to 2018, the dataset includes health expenditure as a percentage of national GDP for over 200 nations. Also, you could use the K-Means clustering algorithm for the clustering analysis. Visualize the cluster labels in Power BI Dashboard to gain insights after you have loaded the dataset in Power BI Desktop and trained your clustering model in Power BI. For the summary page dashboard, you might choose visualization chart types such as Filled Maps, Bar Charts, etc., while for the detailed visualization, you can use Point Maps.

This project concept entails evaluating loan application data to find abstract 'topics,' which are then used to assess the impact of specific topics (loan types) on the default rate. It is based on implementing the Latent Dirichlet Allocation (LDA) topic model in Power BI. Topic modeling aims to automatically analyze a collection of documents and determine their abstract ‘topics’.

For this project, you can use the Kiva dataset on GitHub, which covers loan data for 6,818 accepted potential borrowers. The loan amount, nationality, gender, and some text data from the borrower's application are included in the dataset. Once you have loaded the dataset in Power Bi desktop, trained your model, and the topic weights are added to the original dataset in Power BI, you can visualize it in the Power BI dashboard by employing the Word Cloud feature, Pie Charts on basic maps, Bar Charts, Scatter Charts, etc.

The movie sales visualization project is one of the most exciting Power BI project ideas. This project aims to take a dataset that shows movie sales over time and turn it into an interactive visual experience. You can use the IMDb dataset for 2006 to 2016, available on both IMDb and Kaggle. The dataset includes a list of movies having an IMDb score of 6 or higher and the parameters Budget, Gross, Genre, and Scores. 

You can create a custom Radial Bar Chart and use Slicers to pick Genre, Country, and score range to be integrated directly into PowerBI. This would display parameters such as Average Score and Gross Collections for the selected set. Plotting a Histogram on the score variable using year and genre as slicers will show the frequency distribution of the IMDb scores. A KDE plot can provide a density graph and insights into the average rating for a specific genre and distribution for a given timeframe.

Advanced-Level Power BI Project Ideas

Lastly, we have listed some of the best power bi projects for professionals who need some interesting power BI projects with dataset to try their hands on. 

The Airport Authority Data Analysis project aims to provide a clear picture of all the significant airport data. The total number of flights (incoming and departing flights), the total number of flight delays (arrivals and departures), ground processing time, and the passenger feedback section can all be included in the summary page of this project’s dashboard. In case of flight changes, emergencies, or delays, this analysis could assist airport management authorities in making timely data-driven choices.

For this project idea, you can use the Airline delays and cancellation dataset available on Kaggle. The dataset includes multi-year airline data from 2009 to 2018 to provide more time-series insights. For flight analysis, you can use Power BI visualization options like Cards, Bar Charts, Flow Maps, TreeMaps, and Tornado Charts. For passenger feedback, you might prefer to use Bar Charts, Column Charts, or Cards.

Covid-19 Insights Analysis is one of the most popular Power BI project ideas among individuals. The project aims to thoroughly overview the Covid-19 pandemic's essential parameters, the latest situation, and detailed country-level evaluations. You can create a dashboard that gives valuable information regarding cases (active, deceased, or recovered), mortality, and recovery rates by nation and timeframe. Also, the dashboard might even include a management summary of the most important KPIs and a thorough analysis of individual report pages.

Refer to the Covid-19 dataset available on Kaggle for this project idea. As for the Power BI data visualization features, you can use- Bar Charts, Point Maps, Line Charts, and Column Charts for the overview page; Doughnut Charts for category-wise case analysis; and Decomposition Trees for country-wise case analysis. You might also use Heat Maps to enhance your project’s dashboard visualization.

Explore Categories

The project idea is to help construction firms better understand the industry by allowing them to dig deeper into the specifics and research relevant incidents. You can focus your project on details such as investment growth over time, investment concentrations in specific areas if the investment is impacted by Category, Contractor, or Individual, market status, and which categories, individuals, and permits are driving the market.

For this project idea, use the Seattle building permits dataset from Kaggle. You can perform  Power BI data visualization with the help of Regional Maps, Pie Charts, Bar Charts, Tables, Cards for the main page, Bar Charts, and Line Charts for depicting contractor competitions and category-wise growth, etc.

One of the most unique power bi projects ideas is the Global Energy Trade Analysis. This project concept includes various topics concerning global energy exchange and production. It addresses several topics, such as the expansion of wind energy, energy consumption as a different basis for comparing national economies, etc.

For this unique project idea, use the international energy statistics dataset from Kaggle. The resulting dashboard could display total energy statistics on production, exchange, and usage of primary and secondary energy, conventional and non-conventional energy sources, and new and renewable energy sources. For the dashboard, you can use Power BI visualization types such as Bar Charts, Flow Maps, Cards for the overview page, Ribbon Charts, Treemaps, Bar Charts for the energy production and exchange pages, etc.

This project will analyze life expectancy data by looking at factors such as immunizations, mortality, finances , social factors, and other health-related issues. It will make it easier for a country to identify the predicting factor contributing to a lower life expectancy value. This will also aid in recommending to a country which areas should be prioritized to effectively raise the population's life expectancy.

Use the life expectancy dataset by WHO on Kaggle for Life Expectancy Data Analysis. Power BI visualization types such as Gauge Charts, Pie Charts, Line Charts, and Point Maps can be used for the overview page, while Tornado Charts, Doughnut Charts, Treemaps can be used for depicting country-wise data, etc.

Power BI Projects Github

Here are a few unique project ideas from GitHub that will help you better understand the various applications of Power BI.

This project entails implementing an end-to-end Twitter data analysis/ETL pipeline. For this Power Bi project idea, use the Twitter data from Github . After extracting the data, you will transform it from JSON to CSV and create all the necessary derived attributes. You will then use NLP analysis to classify the tweets' content and determine their sentiment score. Once you finish the ETL process, you can move on to visualize your data using Power Bi reports. For creating the dashboard, you will use pie charts, bar graphs, line charts, tree maps, doughnut Charts, etc.

This unique Power BI project entails visualizing various information related to multiple OTT platforms such as Netflix, Hotstar, Amazon Prime, etc. You can access this project's entire OTT media platform dataset from Github. Use the Query Editor in Power BI for data cleaning and preparation. Once your data is ready for visualization, you can display the visuals using various plots, graphs, cards, etc.

Suppose you have learned all the basics of Spark. What’s next? Start exploring ProjectPro’s repository, where you will find different Spark Projects for Practice.

You can work with the AdventureWorks data available on GitHub for analysis & visualization. Perform the query editing in Microsoft SQL Server Management Studio and use Power BI for the visualization part. Also, use MS Excel and Power BI's query editor for analysis.

Power BI Report Examples

Below are a few interesting Power Bi report examples to help you understand the power of data visualization using Power BI.

The retail analysis report presents a dashboard that analyzes product sales data from various retailers across various regions. The metrics include new-store analysis and a comparison of this year's performance to last year's in terms of sales, units, gross margin, and variation.

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With interactive visualizations based on readily accessible data, the Global Covid-19 Analysis Report contributes to fully disclosing COVID-19 trends worldwide. The report includes maps showing Vaccinations, Progress to Zero, Rt, Spread Analysis, Testing, and Risk Levels.

The inventory stock analysis report contains additional details on stock inventory and represents an analysis of stock inventory for 2018. Using this dashboard, you can forecast "Availability of Stock" and "Time to Replenish Stock" using information from the fulfillment cycle and markdown variance.

The Cancer Analytics report offers a brief overview and a thorough analysis of cancer patients in the US. It enables you to evaluate the mortality rates of each type of cancer, divided according to several factors. You can use the Cancer Analytics Dashboard to make well-informed decisions about the growing number of cancer patients in America.

The Customer Analysis Report highlights product sales and profit for local customers. It can be helpful for analytical users to gain valuable information on customer profit distribution and business growth across areas. The main highlights of the Customer Analysis report dashboard are the region-specific cash inflow and the clients' product-specific turnover.

These real-time power bi projects will help beginners and professionals upskill and master the ability to integrate business intelligence into Data Science. By working on these project ideas, you will gain a deeper understanding of leveraging Power BI for a data-driven approach to various data science industries and becoming job-ready. In case you are looking for some free Power BI projects for practice with solutions, you can head to open-source platforms like GitHub or Kaggle . ProjectPro offers more than 250 end-to-end project solutions around Data Science and Big Data, including some interesting data visualizations. 

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FAQs on Power BI Projects

1. what projects can i do with power bi.

Some of the projects you can do with Power BI are

Energy Trade Analysis

Covid-19 Analysis

Customer Churn Analysis

Movie Sales Visualization

2. How do you practice Power BI?

You can practice Power Bi by working on some unique and easy real-time Power BI examples available on ProjectPro, Github, Kaggle, etc.

3. Where can I get practice data for Power BI?

You can get practice data for Power BI in the platform itself, as the Power BI service has pre-built samples available.

Sign in to the Power BI service.

Browse to the workspace where you want to install the sample, whether it is My Workspace or another.

Select ‘Get data’ in the bottom-left corner. Choose Samples from the Get Data page that appears.

About the Author

Daivi is a highly skilled Technical Content Analyst with over a year of experience at ProjectPro. She is passionate about exploring various technology domains and enjoys staying up-to-date with industry trends and developments. Daivi is known for her excellent research skills and ability to distill

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