Proactive data health checks prevent application failures and user frustration.

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A data health screen identifies critical gaps in reference data, such as missing entities or validators, before users encounter them. It detects these issues during application startup, preventing generic errors or blank lists during business processes. The system pinpoints what is missing, who can resolve it, and which workflows are affected, turning hidden defects into actionable tasks. This proactive governance is essential for data-driven applications, as reference data quality directly impacts whether core processes can function.

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