To get the best insights from Power BI Copilot, you need to ensure it understands your data model accurately. In this guide, I'll walk you through four essential steps that help Copilot interpret your Power BI model more effectively.

Discover how to empower your users by implementing dynamic formatting to provide complete control over KPI scales

Power BI is teaching AI to design better reports. But is that enough?

Microsoft's new Report Design skill can now guide layout, typography, colour and accessibility as part of the AI-assisted build process. It's a genuinely exciting shift for how reports get made.

But it raises a question worth sitting with: what should we actually be prompting for?

"Make it accessible" isn't a spec. An AI agent still needs to know what "accessible" means in numbers: contrast ratios, minimum font sizes, target sizes, how alt text should behave when a reader changes a filter.

In my latest article, I break down what this new capability actually is, what it isn't yet, and the exact kind of prompt that turns "make it accessible" into something an AI agent can build from.

Read it here

Is it possible to create a Power BI report by simply writing a prompt instead of going through long and manual steps? I personally tested the Power BI Copilot feature and experienced the process of generating a report with a single command, step by step. Here’s what I learned.

Alternative text in Power BI is often treated as an afterthought, yet for screen‑reader users, it’s the only way a visual becomes meaningful. And while dynamic alt text is essential for interactive reports, writing it repeatedly across visuals and projects can quickly become tedious.

This article explores how DAX User‑Defined Functions (UDFs) can transform that workflow. By encapsulating reusable narrative patterns into native DAX functions, you can build a consistent, scalable foundation for accessible reporting, one that adapts to slicers, filters, drill‑downs and refreshes without rewriting the same logic over and over.

You’ll learn how UDFs work, how to structure parameters, how to call them from measures, and why separating narrative logic from model logic makes accessibility both easier and more maintainable. Whether you’re building reports solo or supporting a wider BI team, this approach helps you create alt text that’s dynamic, meaningful and genuinely helpful for screen‑reader users.

Ever made one "small" theme or formatting change to a multi-page report, then had to click through every single page just to make sure nothing quietly broke? Power BI's new Desktop Bridge lets a tool  or an AI agent - check your report's state and screenshot every page automatically, in seconds. Here's what it is and a simple real example.

Manual analytics work doesn't add up at scale — it multiplies. This post shows how treating your Fabric artifacts as source code, pairing AI agents with a deterministic core, turns analytics automation from a clever demo into something production-ready. Architecture, components, and where to start inside. 👇

Read on to learn about the winners of the first and most competitive round of the Power BI Dataviz World Championships, where entrants are competing for a spot live, on-stage, at FabCon Barcelona!

Ever built a matrix with a percentage or discount column, only to have the Total row sum it into a meaningless number? Power BI's new column total controls let you fix that directly  no DAX workaround needed. Here's what it does, with a real example.

Power BI Copilot has started to offer great convenience for users seeking speed and flexibility in data analysis. With Standalone Power BI Copilot, you can easily access the information you need from semantic models, reports, or Data Agent with just a single click and a short prompt. In this article, we cover how to enable Standalone Power BI Copilot and how to use its core features with practical examples.

Meet the judges of the 2026 Power BI Dataviz World Champs, where community members go head-to head in a chance to appear live, on stage, in Barcelona!

Join us for the second round of the Power BI dataviz world champs - the second stop on the journey to Barcelona. Read on to learn more! 

I explored how Row Level Security (RLS) interacts with Copilot in Power BI and Microsoft Fabric—answering a common question about whether Copilot can bypass RLS restrictions. This walkthrough demonstrates practical steps for adding users, configuring permissions, and validating that security boundaries remain intact, even with AI-powered features. Organizations often worry that AI assistants like Copilot might expose data beyond intended roles. I addressed this by testing both admin and viewer experiences in a real Fabric workspace, focusing on what Copilot can summarize and display for each user. In this video: - I added a new user to my Merit Workspace with viewer-only permissions, showing the setup process. - I configured Row Level Security and explained how it applies to different users. - I tested Copilot interactions as both an admin and a restricted user, highlighting what each can access. - I examined whether Copilot respects RLS when summarizing or displaying data. - I demonstrated the classic RLS visual experience for a restricted user. - I verified that Copilot does not reveal unauthorized data categories. - I showed how RLS and Copilot work together in real Power BI scenarios.

If you've ever opened a report on the 1st of the month to find last month's date filter still selected or worse, had a client ask "why does this dashboard show old data?" you know the pain. Power BI's new Date Picker slicer sets a relative default that rolls forward on its own, and it's smart enough to anchor to your data instead of just "today." Here's how it works and where it saves the most time.

DAX User-Defined Functions just went GA - and rebuilding my 59-function DAX UDF library the week it shipped taught me more about value vs. expression parameters than any doc ever did. Here's what actually broke, what I'd fix first, and a five-minute audit you can run on your own model today.