Why 90% of ChatBI Projects Fail: Data Governance, Not AI, Is the Bottleneck
Despite 70% of BI products adding AI chat features, 90% of deployed ChatBI projects see under 30% adoption because semantic gaps, inconsistent metrics, and missing data governance make NL2SQL unreliable; true intelligent analysis requires unified definitions, semantic layers, and organizational adaptation, not just better models.
