Cloudfide’s Business Intelligence Newsletter – SEPTEMBER 2026

25 min

Sebastian Jagniątkowski


Welcome to Cloudfide’s Business Intelligence Newsletter!  


Here, you’ll find a carefully curated selection of articles and videos focused on real-world Power BI and Fabric challenges - combining performance, best practices, modern development approaches, practical use cases, DAX patterns, and security and governance, and much more. We’ve selected materials aimed at different levels of experience, so you can focus on the topics most relevant to your current challenges. Each resource is chosen for its practical value and real-world applicability, helping you stay up to date while continuously developing your analytics skills. 

Below, you’ll find the full list of curated topics from last month - explore the ones that matter most to you. 



1️⃣ OneLake Catalog - Four Tips 


  • Why is it interesting? Walk through four practical Microsoft Fabric governance features: making semantic models discoverable in OneLake catalog, applying default sensitivity labels at domain level, using governance recommendations to identify gaps, and bulk managing workspace access. These features help reduce duplicate content, improve compliance, and simplify administration at scale. 

  • Audience: Intermediate → Advanced 

  • Area: Fabric / Governance / OneLake / Administration 


2️⃣ 3 common mistakes in Power BI (and how to overcome them) 


  • Why is it interesting? Learn 3 common mistakes in Power BI and how to fix them. Practical tips for beginners and intermediate users looking to avoid pitfalls and improve their report quality. 

  • Audience: Beginner 

  • Area: Power BI / Best Practices / Mistakes / Tips 


3️⃣ Evolution of Power BI - What's next? 


  • Why is it interesting?  Reza Rad interviews Mohammad Ali (Director of Product Management, Power BI at Microsoft) about Fabric Web Apps, the future of semantic models, MCP standardization, Report Authoring skills, prompt-first UI, version history, and the difference between semantic models and ontologies. 

  • Audience: Intermediate 

  • Area: Fabric / Strategy / Microsoft / AI 


4️⃣ Power BI Donut Chart Center Value: 6 Ways to Set It Up 


  • Why is it interesting? The August 2026 update adds native center value settings to donut charts, enabling live numbers, measures, conditional formatting, images, and six labeling options with automation via PBIR JSON. 

  • Audience: Beginner 

  • Area: Donut Chart / Visualization / Formatting / Design 


5️⃣ Microsoft Fabric Explained for Power BI Users 


  • Why is it interesting? Microsoft Fabric explained from the ground up using a simple end-to-end scenario. Covers: what Fabric is, OneLake architecture, Lakehouse vs Warehouse, data ingestion, Power BI integration, Data Engineering, Real-time data, Security & governance. 

  • Audience: Beginner 

  • Area: Fabric / Introduction / Architecture / OneLake 


6️⃣ Power BI: Dynamic Colors and Formatting with DAX Measures 


  • Why is it interesting? Learn how to create reusable color measures with hex codes, organize them in display folders, apply conditional formatting using field values, and build formatted year-over-year measures with arrows - all from one central place for consistent, scalable report styling. 

  • Audience: Intermediate 

  • Area: DAX / Formatting / Visualization / Best Practices 


7️⃣ Creating DAX functions with AI to remove duplicated code 


  • Why is it interesting? This article shows how to build a complete Power BI report entirely from prompts using GitHub Copilot, Fabric Skills Report Authoring, and Power BI Desktop Bridge - no dragging, no clicking, just prompts with a full live demo. 

  • Audience: Advanced 

  • Area: AI / Copilot / Fabric Skills / Automation 


8️⃣ Speed up Power BI development time with filters and parameters 


  • Why is it interesting? Learn how to create parameters for dynamic filtering, ensure query folding is enabled, and reduce dataset size to improve development speed and iteration time. 

  • Audience: Intermediate 

  • Area: Power Query / Performance / Parameters / Development 


9️⃣ Creating DAX functions with AI to remove duplicated code 


  • Why is it interesting? Learn how to leverage AI to refactor existing DAX code, remove duplicated parts, and centralize common code in user-defined functions. This practical AI use case produces cleaner, more maintainable, and reusable DAX code. 

  • Audience: Advanced   

  • Area: DAX / AI / UDF / Refactoring 


Ready to optimize your Power BI change management processes? Let our experts conduct a thorough assessment of your current reporting practices. We will define a strategy to streamline your reporting system, restore trust in data, and propel your business to the next level with data-driven decisions. Don’t let competitors overtake you - get in touch to schedule your consultation. 

Sebastian Jagniątkowski

Business Intelligence Developer

Sep 14, 2026

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