Capturing Value with Anomaly Detection - Concord White Paper

Data Quality Monitoring Concord in Action:

CLIENT:

Financial Services

Challenge:

Persistent data discrepancies between the customer data platform (CDP) and experimentation systems created confusion, with no clear path to diagnose the source of errors.

Approach:

Implemented rules-based univariate monitoring with daily automated alerts to track key metrics and highlight inconsistencies.

outcome:

The introduction of a daily dashboard enabled timely detection and resolution of data parity issues, restoring confidence in data integrity and accelerating troubleshooting.

Capturing Value with Anomaly Detection