This solution brief explains how state and local governments can proactively manage data quality before issues affect citizens. It highlights how fragmented governance and limited automation prevent agencies from identifying and resolving data issues early. Collibra automates profiling, classification, adaptive rule creation, anomaly detection, and monitoring across hybrid environments. Scorecards and alerts provide visibility into data health and accountability. By detecting issues early and prioritizing remediation based on impact, agencies reduce waste, improve trust in data, and deliver more reliable public services powered by high-quality data.

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