The solution is almost never choosing which dashboard is “right.” Instead, you investigate why they differ. Start by tracing lineage: what tables feed each dashboard, what transformations are applied, and where filters or aggregations diverge. Most conflicts come from subtle differences  such as excluding cancellations in one pipeline or counting test accounts in another.

Once you identify the gap, anchor everything to a canonical definition agreed on by product, engineering, and finance. Publish this definition in a shared metrics layer or data dictionary so that all future dashboards inherit the same logic. You don’t need to rebuild everything; you need to realign everything. Conflicts disappear when definitions are governed, not when dashboards are redesigned.