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Power Bi Usage Scenario Diagrams Power Bi Microsoft Learn

Bonisiwe Shabane
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power bi usage scenario diagrams power bi microsoft learn

Access to this page requires authorization. You can try signing in or changing directories. Access to this page requires authorization. You can try changing directories. This article is part of the Power BI implementation planning series of articles. The series focuses on planning to implement a Power BI experience inside Microsoft Fabric.

See the series introduction. We encourage you to download the Power BI usage scenario diagrams if you'd like to embed them in your presentations, documentation, or blog posts—or print them out as wall posters. Because they're Scalable Vector Graphics (SVG) images, you can scale them up or down without any loss of quality. For more information, see Power BI usage scenarios. There was an error while loading. Please reload this page.

We've updated the Power BI usage scenario diagrams! These diagrams are part of the Power BI implementation planning guidance. They're intended to help you understand how different parts of Power BI can be used by different personas, in different scenarios. The updates include: 1. Some updates related to Microsoft Fabric. 2.

Updates for the new icons and style. 3. The ability to download, use, and print scaleable versions of the diagrams. You can even download versions without legend numbers. These are useful for your presentations, documentation, or if you simply want to use them as posters. ❗ These diagrams focus on the Power BI workload of Fabric.

🔗 To read about the usage scenarios and learn more about what these diagrams depict, go here: https://lnkd.in/eyvDd6gF 🔗 To download the diagrams, go here: https://lnkd.in/eeBM2udK 🔗 Example diagram - Personal BI: https://lnkd.in/e8KTvJxP Kurt Buhler, love the diagram on Personal BI. Is there a similar diagram for Enterprise Power BI? This is excellent, Kurt Buhler! Is there any way to include the legend table ("Item" & "Description" columns) in the images that have the legend numbers on them? Looking great Kurt - very clear and easy to follow.

I could only dream of having the skills to do this ❤️ Oh this is so much better! They were already invaluable for their content, but all the colors in the diagrams were a bit busy. This makes them much easier to read! Access to this page requires authorization. You can try signing in or changing directories.

Access to this page requires authorization. You can try changing directories. This article is part of the Power BI implementation planning series of articles. The series focuses on planning to implement a Power BI experience inside Microsoft Fabric. See the series introduction. The Power BI ecosystem is diverse and can be implemented in different ways.

In this series of articles, common usage scenarios are provided to illustrate different ways that Power BI can be deployed and utilized by creators and consumers. Understanding how these usage scenarios are used in your organization, and by whom, can influence the implementation strategies you decide to take. The most prevalent components of Power BI are identified in each scenario based on how Power BI is intended to be used for that scenario. The objective is not to call out every possible option for each usage scenario. Rather, each scenario diagram depicts the primary features that are most relevant for that scenario. There was an error while loading.

Please reload this page. In the world of business intelligence, technical skills alone aren’t enough—what truly sets a Power BI professional apart is the ability to solve real-world business challenges efficiently and strategically. Whether it's optimizing slow dashboards, handling multi-source data integration, or enabling secure report sharing, each scenario demands not just tool knowledge but problem-solving expertise. This article presents 15 practical Power BI scenarios often encountered by analysts, consultants, and business decision-makers. Each situation includes a detailed and actionable solution designed to help professionals handle performance, usability, security, and data governance with confidence. If you're preparing for interviews, building client solutions, or managing enterprise-grade reporting, these examples will give you the clarity and approach needed to succeed with Power BI in real business environments.

To optimize performance, begin by analyzing the data model for inefficiencies. Remove unnecessary columns, minimize the use of high-cardinality fields, and ensure appropriate data types are used. Aggregations should be introduced at the query level where applicable. For large datasets, implement features like incremental refresh or aggregated tables to reduce load. Apply filters at the data source or dataset level rather than relying solely on report-level filters. Avoid overly complex visuals or custom visuals that hinder performance.

Evaluate the necessity of DirectQuery mode, and if not essential, switch to Import mode with scheduled refreshes to significantly enhance report speed. Start by reviewing the data sources and Power Query transformation steps to ensure they align with the logic applied in the Excel file. Examine the applied filters and slicers in the Power BI report for any unintended exclusions. Compare aggregation logic (e.g., sum, average) between both tools. Use the data lineage view to trace data flow from source to visualization, checking for discrepancies in joins, calculated columns, or DAX measures. Ensure consistent time frames and granularity are used across both reports.

Access to this page requires authorization. You can try signing in or changing directories. Access to this page requires authorization. You can try changing directories. This article is part of the Power BI implementation planning series of articles. The series focuses on planning to implement a Power BI experience inside Microsoft Fabric.

See the series introduction. As described in the Fabric adoption roadmap, exploration, experimentation, and obtaining useful feedback from a small group of users is the purpose of phase 1 of solution adoption. A prototype—or proof of concept (POC)—is a Power BI solution that's intended to address unknowns and mitigate risk. This solution can be shared with others to get feedback during development iterations. The solution might be a temporary, short-lived solution, or it might ultimately evolve into a solution that's fully validated and released. Creating a prototype is commonly done for departmental BI and enterprise BI scenarios (and can occasionally be done for team BI scenarios).

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Access To This Page Requires Authorization. You Can Try Signing

Access to this page requires authorization. You can try signing in or changing directories. Access to this page requires authorization. You can try changing directories. This article is part of the Power BI implementation planning series of articles. The series focuses on planning to implement a Power BI experience inside Microsoft Fabric.

See The Series Introduction. We Encourage You To Download The

See the series introduction. We encourage you to download the Power BI usage scenario diagrams if you'd like to embed them in your presentations, documentation, or blog posts—or print them out as wall posters. Because they're Scalable Vector Graphics (SVG) images, you can scale them up or down without any loss of quality. For more information, see Power BI usage scenarios. There was an error while...

We've Updated The Power BI Usage Scenario Diagrams! These Diagrams

We've updated the Power BI usage scenario diagrams! These diagrams are part of the Power BI implementation planning guidance. They're intended to help you understand how different parts of Power BI can be used by different personas, in different scenarios. The updates include: 1. Some updates related to Microsoft Fabric. 2.

Updates For The New Icons And Style. 3. The Ability

Updates for the new icons and style. 3. The ability to download, use, and print scaleable versions of the diagrams. You can even download versions without legend numbers. These are useful for your presentations, documentation, or if you simply want to use them as posters. ❗ These diagrams focus on the Power BI workload of Fabric.

🔗 To Read About The Usage Scenarios And Learn More

🔗 To read about the usage scenarios and learn more about what these diagrams depict, go here: https://lnkd.in/eyvDd6gF 🔗 To download the diagrams, go here: https://lnkd.in/eeBM2udK 🔗 Example diagram - Personal BI: https://lnkd.in/e8KTvJxP Kurt Buhler, love the diagram on Personal BI. Is there a similar diagram for Enterprise Power BI? This is excellent, Kurt Buhler! Is there any way to include ...