Capturing Value with Anomaly Detection - Concord White Paper

What Makes a Solution “Anomaly Detection”?

1.) Continuous Monitoring at the Right Cadence

Monitoring intervals should match how frequently your data updates and how fast you need to act on issues.

For example:

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Daily: Validate batch pipeline outputs and segment consistency

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Hourly: Track business performance metrics or campaign trends

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Every 5 minutes: Detect outages, fraud, or critical system anomalies.

2.) Defined Thresholds for Identifying Anomalies

Thresholds can be static (e.g., business-defined rules) or dynamic (e.g., based on historical or learned behavior).

Regardless of the method, thresholds must follow explainable logic to ensure trust and actionability.

3.) Automated Alerts and Escalation Paths

Detection means little without action. Alerting mechanisms should feed directly into operations—whether via instant

message, email, or incident workflows—so issues are addressed in real time.

Capturing Value with Anomaly Detection