TLDR Tech / Data
Broken Windows of Data
Data warehouse quality needs to be built into the full development lifecycle, not left to final review. Teams can stop small inconsistencies from spreading into shared definitions, dashboards, and business logic by shifting checks earlier through modeling reviews, local validation, CI/CD, AI-assisted review, human judgment, and monitoring.
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