Data Anomaly

A Data Anomaly Policy automatically detects unexpected or abnormal behavior in your data profiles over time. This includes anomalies in:

• Record counts
• Value distributions
• Null patterns
• Outliers
• Statistical deviations from historical baselines

This policy helps you identify sudden issues in dataset behavior before they cascade into downstream failures or impact business dashboards.