Anomaly Detection

A cross-application anomaly detection capability designed to identify irregular, inconsistent, or out-of-range data entries within sustainability-related datasets.

The module analyzes submitted data during entry or review stages and flags values that deviate from predefined thresholds, expected ranges, historical patterns, or configured rules.