Data Governance · Monte Carlo
Monte Carlo: data observability
Data quality monitoring, lineage, SLAs, and impact analysis
Monte Carlo provides data observability with anomaly detection, lineage, SLA health, and impact analysis to catch issues fast and reduce incident blast radius.
Anomaly detection & alerts
Schema/volume/freshness anomalies with notifications.
Lineage & impact
End-to-end lineage to assess downstream impact.
SLA & health
Freshness/availability tracking and SLA breach visibility.
Ecosystem integrations
Connects to major warehouses, orchestration, and BI tools.
Anwendungsfälle
- Data quality monitoring
- Pipeline incident triage
- SLA protection/reporting
- Impact assessment and rollback