Automated Data Quality KPI Dashboard with SLA Monitoring

This dashboard continuously measures data quality across sources using a suite of checks (null rates, schema drift, duplicates, stale data). Each check runs (or is updated) and a pass/fail status is recorded with timestamps and severity. The dashboard computes data quality KPIs against SLA thresholds, highlights sources failing SLAs, and identifies trending degradation via sparklines. It also prioritizes remediation items by impact (downstream consumers) and provides suggested owners. Use this to operationalize data reliability conversations and to escalate critical issues to engineering or data owners with quantified consequences.