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.