Anomaly Detection
Definition
Anomaly detection identifies data points or events that do not match expected patterns. It is used to catch unusual behavior that may indicate risk, error, or opportunity. Anomalies are signals that require review, not automatic conclusions.
Business Context
Businesses use anomaly detection for fraud detection, operational incidents, sudden cost spikes, unusual user behavior, or supply chain disruptions. A good system reduces false alarms and highlights what matters.
Why it Matters
It helps catch problems early and protects performance and trust.
