Accuracy Benchmark Design for Text-to-SQL Analytical Tools
Enterprise schemas expose how poorly text-to-SQL tools actually perform.
Marcus Heiland
8 stories
Enterprise schemas expose how poorly text-to-SQL tools actually perform.
Engineers must isolate analytics access, restrict columns and rows.
Warehouse-native tools now make metric consistency affordable for single-platform teams.
Omitting any single field from a metric catalog schema causes a predictable governance failure.
Role-based access replaces convenience with accountability, attribution, and compliance.
Cryptographic proof makes audit logs impossible to fake or alter after the fact.
LLMs generate SQL that runs successfully but produces silently wrong answers.
Track which source columns feed revenue metrics to catch dashboard breaks in minutes, not hours.