Anomalo's Data Quality Monitoring leverages automated AI to swiftly identify data quality issues and uncover their root causes, ensuring you stay ahead of potential problems.
1. Integrate Your Data Sources 2. Activate AI-Powered Data Quality Monitoring 3. Establish Validation Rules and Key Performance Indicators (KPIs) 4. Identify, Notify, and Resolve Issues