Reporting performance and refresh reliability degraded as the model grew, driving low adoption and workarounds. After refactoring the semantic model for scale, optimizing costly DAX, simplifying complexity, and aligning refresh strategy to data volume and usage, reports became responsive, refreshes stabilized, and internal teams could extend the model without sacrificing performance.

Sensitive reporting lacked consistent, maintainable access controls, creating security risk and overhead. By implementing a governance framework with standardized workspace/app distribution and role-based RLS, access became scalable and secure, manual permission work dropped, and self-service reporting expanded without compromising data security.

Executive KPI reporting was unreliable due to inconsistent metric results across reports. By standardizing KPI definitions and rebuilding a single source-of-truth semantic model, leadership regained confidence, decision meetings became action-focused, and reporting became consistent and defensible.