digna Reports 12-Month Enterprise Deployment Without Traditional Data Quality Rules

Enterprise deployment shows how AI-driven observability replaced thousands of manual data quality rules while maintaining reliable data monitoring. digna announced that a large-scale enterprise data warehouse operated for twelve consecutive months without executing traditional manually coded data quality rules, relying instead on adaptive anomaly detection embedded in its Data Quality & Observability Platform. By modeling […]