Measures with identical DAX bodies
"Measures with identical DAX bodies" is one of the maintainability checks Auditabi runs on a Power BI semantic model. Two or more measures have exactly the same DAX body under different names. It is a medium-severity finding: the model still works, but results are wrong in some filter contexts, slow, or fragile under change. Keep one measure, redirect visuals to it, and delete the others; use the impact analysis to find where each is used.
What is detected
Two or more measures have exactly the same DAX body under different names. They drift apart with the next change and users cannot know which one is the number to trust.
Why it matters
Wrong in some filter contexts, slow, or fragile under change. Fix in the next iteration.
How to fix it
Keep one measure, redirect visuals to it, and delete the others; use the impact analysis to find where each is used.
Does your model fail this check?
Free static audit with the exact objects, no account, nothing stored.