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.

Power BI models can become hard to understand when they contain many relationships. This makes it difficult to know how slicers and filters affect visuals and DAX results. To solve this, Measure Killer 2.9.2 introduced the Table relations feature, which shows all possible ways one table can filter another.

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.

This blog post shows you how you can manually remove auto date/time or local date tables from Power BI Desktop using TMDL view.

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.

Check out how I am using visual calculations in Power BI to compare text values in an efficient way.

This short video outlines to power of using TMDL view in Power BI Desktop combined with the latest version of Measure Killer to remove all u

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?

Getting all user and security group access permissions of your Power BI / Fabric tenant. Including item-level permissions.

How to find composite models or just getting the storage mode for all semantic models in your tenant.

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.