Power BI for Fintech: Product, Growth, and Investor Dashboards

A fintech's data team builds Power BI dashboards for the CPO, Head of Growth, and CFO. Each leader sees slightly different numbers for the same metrics because each dashboard was built by a different analyst pulling from different data sources with different calculation logic. The CPO's product dashboard calculates MAU one way. The growth dashboard uses a different definition. The investor dashboard uses a third. By the time these are presented to the board, nobody trusts any of them. The CFO asks for a single source of truth. The data team agrees it's needed. Nobody has time to build it because they're too busy maintaining three separate dashboards.

Fintech Power BI done right builds the semantic model first. One tabular model sourced from the reconciled data layer. One definition of MAU, one definition of revenue, one definition of churn — locked in DAX measures, documented, version-controlled. All dashboards consume from this model. The CPO, Head of Growth, and CFO see the same numbers because they're sourced from the same governed definitions. Board meetings discuss the business, not which number is correct. Done this way, the data team maintains one model instead of three dashboards. Done without the semantic layer, every new dashboard creates a new version of the truth.