Extend data quality coverage with AI-powered automated rule creation based on dataset profiling. Reduce false positive alerts by continuously adapting rule thresholds based on machine learning analysis of normal data distributions and ranges. Ensure visibility of issues with automated stakeholder notification.
Data quality monitoring and detection
Improve the accuracy and consistency of data by finding missing values and records, schema changes, null values, duplicates and other quality issues across the enterprise.
Only Collibra detects data anomalies and identifies their causes and impact using patented machine learning techniques.
