Analyst in Action

Last blog for the year! And before leading into 2026, let's talk about one of the hot topics that is always tricky to understand while working with Power BI and Fabric. On most days, your reports are running perfectly, and suddenly, you get a notification that you have consumed more than 80% of the capacity.  A report that usually opens in seconds starts taking ages to open. Visuals take longer to load. Sometimes a refresh fails with a capacity-related error. When you check the metrics, there is a sharp spike in capacity usage that wasn’t there before. What makes this frustrating is that nothing obvious changed. No new reports were deployed. No large datasets were added. Yesterday worked fine, so today  should  work fine too. The natural response is to assume the capacity is too small. If usage spiked and things broke, it feels logical to conclude that more capacity would solve the problem. This conclusion makes sense. Capacity feels like a fixed limit, and hitting that l...

" When is it time to stop copying PBIX files and start reusing a shared model?" Most BI developers begin their Power BI journey the same way: one PBIX file that does absolutely everything. It holds the data model, the queries, the measures, and all the report pages on top. It’s simple, self-contained, and easy to understand. That's normal, no? Yes, absolutely, but let's imagine a scenario where there are different teams, and they want the same dataset but tweaked in a different way for their purpose. Since your semantic model is quite big in terms of size. Generally, you can just make the adjustments and create multiple PBIX files for different audiences. This solution will work, but let's understand what we are doing. After a few months, what started as one neat, well-understood PBIX turns into a small family of very similar files: Multiple PBIX files containing almost the same model KPIs that should mean the same thing but don’t quite match A growing fear that c...