The first step is to stop treating the dashboards as the problem and start treating the data lineage as the real investigation. Conflicting KPIs almost always come down to definitions, transformations, or timing differences, not wrong intentions. So before choosing which number is “right,” map how each dashboard arrives at its final value: What tables are used? What filters are applied? Are late-arriving events handled differently? Does one tool calculate at query time while the other relies on pre-aggregated logic? Once you trace the full path end-to-end, the gap usually reveals itself as a definitional mismatch rather than a data error.