How to Validate Power BI Visuals Without a Ground Truth Dataset?

Hi Nikhilsable ,
Thanks for reaching out to the Microsoft fabric community forum. 

You’re on the right track. Replicating some semantic logic in Snowflake using SQL can help, but it’s best used selectively rather than trying to fully rebuild the Power BI model. DAX measures are evaluated based on filter context from report visuals and model relationships, which SQL cannot always replicate exactly.

A more reliable approach is layer-wise reconciliation. Validate source data in Snowflake, then compare key aggregates like totals and counts with simple Power BI visuals under the same filters. This confirms results without duplicating the entire semantic model.

Using SQL for targeted spot checks works well, but for measures driven by filter context or relationships, validating directly in Power BI is more effective. In practice, use Snowflake SQL for source and aggregate validation, Power BI visuals to validate measure behavior, and continue layer-wise checks to isolate issues, keeping the process accurate and aligned with how Power BI evaluates data.

Refer to these Microsoft Docs - 
https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-relationships-understand

https://learn.microsoft.com/mt-mt/training/modules/dax-power-bi-modify-filter/

https://learn.microsoft.com/en-us/dax/dax-overview

https://learn.microsoft.com/en-us/power-bi/guidance/star-schema

If I misunderstand your needs or you still have problems on it, please feel free to let us know. 

Best Regards, 
Community Support Team