Visuals aggregating raw columns (implicit measures)
"Visuals aggregating raw columns (implicit measures)" is one of the governance checks Auditabi runs on a Power BI semantic model. n visual(s) plot numeric columns directly instead of a measure. It is a medium-severity finding: the model still works, but results are wrong in some filter contexts, slow, or fragile under change. Create an explicit measure for each business number and use it in visuals; set discourageImplicitMeasures on the model.
What is detected
n visual(s) plot numeric columns directly instead of a measure. The aggregation lives in the visual: two reports can show different totals for the same business number, and the logic cannot be reused or audited.
Why it matters
Severity depends on how many objects are affected.
How to fix it
Create an explicit measure for each business number and use it in visuals; set discourageImplicitMeasures on the model.
Reference
Microsoft: implicit vs explicit measures
Does your model fail this check?
Free static audit with the exact objects, no account, nothing stored.