Business Intelligence for Fintech: Product, Growth, and Investor Dashboards

The CPO says there are 45,000 active users. The Head of Marketing says there are 52,000 customers. The CFO says revenue-generating accounts are 38,000. Each is correct — they're using different definitions of 'customer' based on different source systems at different time points. The board doesn't know which number to believe. This is the universal fintech BI problem: fast growth creates data across many systems, and the definitions diverge because nobody locked them early enough.

Fintech BI done right locks the definitions first. One customer count definition (what counts as 'active' — logged in? transacted? billed?). One revenue definition (recognized? billed? collected?). One churn definition (voluntary? involuntary? grace period?). Documented, version-controlled, agreed by the CPO, Head of Marketing, and CFO before the first dashboard is built. Then the semantic layer encodes these definitions. Then the dashboards consume from the semantic layer. Done this way, every leader sees the same numbers and the board meeting discusses the business, not the data discrepancies.