Databricks Genie Improves Trust With Benchmarks

Databricks outlines how its Genie natural-language analytics feature uses a 13-question benchmark suite to validate and improve answer accuracy for business users. In a marketing analytics example, baseline results returned zero correct answers due to poor table names and missing metadata; iterative fixes—renaming tables, improving Unity Catalog descriptions, and re-running benchmarks—produced systematic accuracy gains. The process aims to increase user trust in self-service analytics.