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.

All semantic models can have a version history now, no matter if they are in a Pro or Fabric/Premium workspace.

This blog post shows a smart way to know the size of your semantic model before you publish it and refresh it in a Power BI workspace. To avoid errors and hittin the max. allowed.

We can get basic info from Apps in Power BI from the APIs. Audiences are widely used but to get all info on them it is a little harder. I will show in this blog post a way to see everything.

We show how we can retrieve the number of report and even page views of our Power BI reports across all workspaces.

This blog post shows how to analyze Power BI reports for best practices in all workspaces of your Fabric or Power BI tenant.

In this blog post we show the refresh time and cost differences when moving from Dataflows Gen1 to Gen2 in Power BI or Fabric.

This blog post shows how to use small F capacities to build a low cost Power BI solution by embedding reports.

What is the cheapest way to query a semantic model in Fabric or Power BI for its metadata? Is it XMLA or the new DAX.INFO functions?

This blog post shows probably the only way to get all row-level security details for a Power BI or Fabric semantic model.

This blog post outlines a quick way to add report-level measures to a semantic model in Power BI or Fabric.

This blog post shows how to get the full lineage of a Power BI semantic model

We show how you can easily search a Power BI semantic model's M code in just a few clicks using an external tool.

If you are worried about what is going on in personal workspaces in Power BI look no further!

We outline how you can mass upload hundreds of Power BI reports to the Power BI Service using a PowerShell script.

Learn how to search and analyze DAX expressions in Power BI models using DAX Query View, Measure Killer, and API calls.

This blog post shows how we can leverage DAX.INFO() functions for getting data and metadat of models in Power BI instead of XMLA.

How do I optimize a shared semantic model in the Power BI Service with 1-click? Use Measure Killer and Git integration!