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.

In my last post, I discussed how I've been using Sempy and SemPy Labs to convert column names to Snake Case . This post will explore the next important step: creating and managing measures. Having all measures simplifies processes significantly; it makes changes easier, makes smoother documentation, enhances AI productivity and facilitates deployment to a new semantic model. What I appreciate most is the ability to add descriptions and organise measures into folders effortles

Documentation is a critical and tedious part of every project. However, it is essential to review existing developments or document new…

A quick post, how many times in Power BI Desktop, have you clicked on “No, remove the files.” and then say OOPS! Well,…

Learn how to replace all numeric values in multiple Power Query columns at once. A practical M language solution for data transformation in Power BI.

I love automating things, I have read somewhere, a good developer always tries to automate things, but in my case, I…

I am a huge OneNote fangirl, most of the times I start my working day by opening OneNote. But yesterday I…