AI-driven data quality helps enterprises reduce risk, cut costs, and scale governance—see how MAPFRE achieved millions in savings.

Data quality failures don’t just create inefficiencies—they introduce real financial and operational risk. For global insurer MAPFRE, managing millions of records across legacy and cloud systems made proactive data governance nearly impossible.

By adopting Qualytics, MAPFRE transformed its approach from reactive data cleanup to proactive, AI-driven data quality management. With automated rule inference, no-code rule creation, and secure deployment, the organization empowered business users, reduced engineering dependency, and accelerated timelines from months to just one week.

The result? Millions in projected savings, faster anomaly detection, and a scalable foundation for enterprise-wide data governance.