Building AI agents to create Power BI reports taught me something crucial: functional doesn't mean usable. My agent kept cramming everything onto one screen because it didn't understand design intent. This post explores visual cues and the principles that make dashboards intuitive, not just technically correct.

You are not alone! I recently completed some work for a client regarding orphaned deployment pipelines. In small teams, where one or two developers handle most of the tasks, certain items may become orphaned, and accessing them can be challenging. While using REST API to achieve many things is common, working with PowerShell has never been my strong suit. Fortunately, this can be accomplished quite easily with Fabric and Fabric Notebooks. Below is a quick code snippet you can run using a...

SemPy offers many possibilities with Semantic Models in Microsoft Fabric, some of which are remarkably effective and simplify some tedious tasks. As Data Analytics Developers, we often debate the best naming conventions. However, business users expect us to set aside our fixation on naming conventions and create more readable outputs with a simple design. When we create our models for Power Users, Self-Service BI users, or Power BI designers, they need simple, explainable names. It's not...