Keep governed data reliable through quality rules, observability, remediation, data contracts, and lifecycle accountability.
Define, monitor, and report quality rules, thresholds, scores, certifications, anomalies, exceptions, and owner accountability.
Detect freshness failures, volume anomalies, schema drift, pipeline failures, cost anomalies, and quality incidents.
Define producer-consumer agreements for schemas, quality expectations, ownership, SLAs, usage rules, and change controls.
Linked quality signals, incidents, contracts, and remediation ownership to governed assets.
Yes. Owners can triage quality issues, remediation tasks, contract changes, and exception evidence in context.