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Calibrate: Self-Service Data Quality

A 0-to-1 enterprise data quality product adopted by 3,500+ users and processing 600,000+ checks daily.

Data quality and anomaly detection demonstration

Challenge

Enterprise analytics and machine learning depend on trusted data. Data stewards and consumers needed self-service tools to assess quality and identify issues.

My role

Created and launched Calibrate from 0 to 1 as Senior Product Manager at American Express.

Solution

Delivered enterprise self-service data quality capabilities and later introduced anomaly detection to improve operational efficiency.

Impact

  • 3,500+ users adopted the data quality product.
  • 600,000+ checks processed daily.
  • Anomaly detection improved operational efficiency by 50%.

The product improved trust in data used for analytics and machine learning.