Powerbi Implementation Planning Usage Scenario Diagrams Md

Bonisiwe Shabane

-Dec 10, 2025, 8:30 PM

powerbi implementation planning usage scenario diagrams md

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. 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). There was an error while loading. Please reload this page.

Upcoming webinar on 'Inforiver Charts : The fastest way to deliver stories in Power BI', Aug 29th , Monday, 10.30 AM CST. Register Now Please Select a country*United StatesAndorraÅland IslandsAfghanistanAlbaniaAlgeriaAngolaAntigua and BarbudaArgentinaArmeniaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBhutanBoliviaBosnia and HerzegovinaBotswanaBrazilBruneiBulgariaBurkinaBurundiCambodiaCameroonCanadaCape VerdeCentral African RepChadChileChinaColombiaComorosCongoCosta RicaCroatiaCubaCyprusCzech RepublicDenmarkDjiboutiDominicaDominican RepublicEast TimorEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFijiFinlandFranceGabonGambiaGeorgiaGermanyGhanaGreeceGrenadaGuatemalaGuineaGuyanaHaitiHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsraelItalyIvory CoastJamaicaJapanJordanKazakhstanKenyaKiribatiNorth KoreaSouth KoreaKosovoKuwaitKyrgyzstanLaosLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacedoniaMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMauritaniaMauritiusMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew ZealandNicaraguaNigerNigeriaNorwayOmanPakistanPalauPanamaPapua New GuineaParaguayPeruPhilippinesPolandPortugalQatarRomaniaRussiaRwandaSaint Kitts & NevisSaint LuciaSaint Vincent & the... Traditional forecasting is not enough to navigate market volatility. Scenario Planning is the key to building a resilient and agile strategy, enabling your organization to explore multiple futures and identify the best path forward with confidence. This practical session explores what Scenario Planning is, it's critical difference from forecasting, and why your enterprise must embrace it to build a resilient and agile strategy.

We'll show you how to overcome common planning limitations and perform effective Scenario Planning directly in Power BI. This playbook empowers business users by transforming static reports into an interactive canvas for modeling the future. Join us for a live demo featuring Inforiver, where you will see how to: Microsoft’s Power BI was recently recognized as a Magic Quadrant Leader in analytics and business intelligence platforms. One reason Power BI enjoys and maintains this coveted position is due to its ease of integration within any company, regardless of team size. Let’s take a look at the four most common implementation scenarios, implementation tools, and our recommendations and best practices.

In a broad sense, Power BI implementation scenarios are: Also known as self-service BI, Personal BI is aptly named, as this is the use case where you don the multiple hats of a data modeler, report author, and content consumer. This scenario requires Power BI desktop, a Power BI data gateway (if connecting to on-premises sources), and a Power BI license (free or paid). While a pro license (paid license) is not needed as you will not share the content, we recommend provisioning a single Power BI Pro license as there are features within Power BI Service that... When it’s time to collaborate with colleagues, the small team usage scenario is the way to go. This is sometimes thought of as a “bottom-up” approach where the subject matter experts in the functional business units drive their team’s analytical initiatives.

As the team grows large, it becomes impractical to effectively use a workspace for all report sharing (as shown in the previous small team collaboration scenario). The best way to manage larger team-based scenarios is via the usage of a workspace for collaboration and a separate app for distributing the content to a larger group of people, as shown in... Massive enterprise BI implementations often employ a “top-down” approach because it is common for the Power BI content to be primarily created and maintained by a centralized IT/BI team. Enterprise-level reporting scenarios commonly have a significantly larger number of read-only users who consume content compared with the much smaller number of authors who create content to publish for others. A common way to cost-effectively support organizational/enterprise-wide reporting is via the use of Power BI Premium: 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.

Powerbi Implementation Planning Usage Scenario Diagrams Md

People Also Search

Access To This Page Requires Authorization. You Can Try Signing

See The Series Introduction. We Encourage You To Download The

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

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

🔗 To Read About The Usage Scenarios And Learn More