Identify redundant definitions, hidden auto tables, auto date time drivers, complex DAX, and calculated columns that increase memory usage and slow refresh cycles.
Automated QA and Governance To Accelerate Power BI Development While Protecting Your Reports And Semantic Models.
Power BI and Fabric make it easy to build quickly. As environments expand, manual QA becomes difficult to sustain. Visual overload, broken visuals, and model bloat often remain hidden until after publishing.
The result is slower reports, increased rework, and rising operational pressure. Teams need earlier visibility into quality and performance risks.
Soterre Power BI Analyzer delivers automated quality assurance and governance for Microsoft Fabric and Power BI. It surfaces hidden errors, evaluates performance risks, improves model hygiene, and helps teams reduce avoidable operational costs.
Identify redundant definitions, hidden auto tables, auto date time drivers, complex DAX, and calculated columns that increase memory usage and slow refresh cycles.
Detect excessive visual counts, inefficient visual patterns, and failing visuals that can degrade the user experience and increase troubleshooting time.
Run automated best practice checks early in the development lifecycle. Findings help teams standardize patterns and reduce avoidable rework.
Identify tables, columns, and measures that are not referenced across reports and semantic models. Reduce file size and simplify ongoing maintenance.
Case Studies
