Implicit measures are easy to create in Power BI, but they cause problems in production reports. This post explains what they are, why you should avoid them, and shows two practical ways to find visuals that use implicit measures: one manual using PBIR files, and one automatic using Measure Killer.

Report sprawl is a common problem in Power BI environments, with many reports differing only slightly from one another. Report Similarity in Measure Killer makes it easy to find, compare, and clean up these near-duplicates using clear similarity scores and detailed comparisons.

Many Power BI environments suffer from semantic model sprawl: dozens of models that appear almost identical, yet differ just enough to make cleanup risky. Manually comparing these models doesn’t scale and often relies on guesswork. This article introduces Model Similarity in Measure Killer, a practical approach to identifying, comparing, and understanding redundant semantic models using objective similarity scores.

Measure Killer's "Clean your model" tab helps Power BI developers clean their models beyond just deleting unused artifacts. It finds unnecessary columns, measures, visuals, pages, and relationships that make models larger than needed. It is aimed at intermediate to advanced developers.