Power BI Desktop is providing a work around to bypass the suppression logic

[NazeerShaik]

Hello,

I am facing a weird issue with PBI Desktop that has a live connection to AAS tabular model. The model has star schema. All the measures in the fact table have suppression logic so we don't show data from the dimensions when the measures do not meet the threshold. When I build a table visual with a few columns from 2-3 dimensions, it used to be a cartesian product resulting in data that's not identifiable. The most recent update to PBI desktop I am guessing has changed the way relationships work. Now the same table visual is showing the data that's identifiable even though the result does not meet the suppression logic. It works like a charm the moment I include a measure in the visual. Unfortunately, without a measure, it's providing a pathway to identifiable responses defeating the whole purpose of suppression logic. Is anyone aware of why this is happening? Any suggestions?

[v-yangliu-msft]

Hi  @NazeerShaik  ,

It’s not very clear. What do you mean by suppression logic? Can you give me an example and explain it in detail?

can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data

Best Regards,

Liu Yang

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