The Challenge

MAPFRE USA had the right expertise but not the right tooling to operationalize data quality at scale.

Before Qualytics, their data governance team relied on Great Expectations, a programming-heavy open-source framework that required Python expertise for data quality checks. This made workflows inaccessible to business users and overloaded their small data governance team led by Norma Anderson, Director of Data Governance.

At the same time, the company’s quote data—millions of records spread across legacy and cloud platforms—was difficult to structure, profile, and monitor. Engineering support was required for nearly every initiative, slowing down progress and making proactive remediation nearly impossible.

Security requirements added another layer of complexity. Because MAPFRE works with sensitive PII, many data quality vendors were disqualified from consideration. The team needed a modern data quality solution that could be deployed privately and meet strict internal controls.

MAPFRE needed an approach that would accelerate their data quality program, reduce reliance on engineering, and empower business users to participate directly in identifying and resolving issues.

The Solution

MAPFRE USA selected Qualytics because it provides a secure, AI-assisted, business-friendly platform that unifies governance, quality checks, anomaly detection, and remediation workflows in one environment. 

“The tool is very easy to use, very flexible, and it’s going to be invaluable as we expand this across more of our organization over the next two years,” said Norma Anderson, Director of Data Governance, MAPFRE USA. 

With Qualytics, MAPFRE was able to:

Accelerate Data Quality with ML-Driven Rule Inference

Qualytics automatically generated 18,335 inferred rules by analyzing the shape and patterns of MAPFRE’s quote data. Instead of writing rules manually—an effort that would have required engineering, underwriting, and business analysts to spend an estimated 2.5 hours per rule—the data governance team had broad coverage within hours.

Norma Anderson said, “The amount of coverage we gained in a single day would have taken months of engineering effort. Having thousands of rules inferred automatically changed the trajectory of our entire data quality program.”

Empower Business Users With No-Code Rule Authoring

Underwriters and data analysts now write and adjust data quality rules using Qualytics’ low-code/no-code interface. Instead of routing every request to engineering, the people who understand the data best can apply business logic directly.

Improve Engineering Efficiency Through Structured Data and Automation

Qualytics’ computed tables transformed MAPFRE’s complex JSON quote data into 48 structured, source-tagged tables. This eliminated the need for a heavy engineering lift that would have required roughly 3,000 engineering hours to rebuild manually. With Qualytics, the work was completed in about 50 hours, saving $442,500 and reducing the timeline from 9–12 months to just one week.

Secure Deployment for Sensitive Data

Qualytics’ architecture allowed MAPFRE to deploy privately, meeting their stringent security and compliance requirements without sending PII outside their environment.

The Results

MAPFRE USA’s adoption of Qualytics transformed their data quality program from reactive cleanup to proactive, automated, scalable governance and delivered measurable ROI in weeks.

• A data governance team that can finally operate at scale: MAPFRE achieved broad rule coverage and immediate anomaly detection, enabling the team to shift from manual monitoring to continuous improvement.
  
  
• Business users now co-own data quality: Underwriters and analysts can write, refine, and validate rules themselves, reducing bottlenecks and strengthening alignment between technical and business teams.
  
  
• Faster issue detection and remediation: MAPFRE now identifies anomalous records early in the quoting process—catching issues before they move downstream and impact underwriting accuracy.
  
  
• Engineering freed from the critical path: Complex restructuring and rule creation no longer require heavy engineering support, allowing technical teams to focus on higher-value work.
  
  
• A secure, modern foundation for future expansion: With a private deployment that meets strict PII requirements, MAPFRE established a flexible platform that it can confidently scale across more use cases and business units.

“Don’t wait for a major failure before investing in a data quality tool,” said Anderson. “Qualytics has empowered our business teams, reduced engineering strain, and become an integral part of our fabric. We are now positioned to meet our data quality goals and support future innovation.” 

Move from Reactive Fixes to Proactive Data Quality

MAPFRE USA proves that a small governance team can deliver an outsized impact with the right platform. By combining AI-enabled automation with human oversight, they built a data quality foundation that reduces risk, accelerates decision-making, and sets the organization up for future innovation.

Discover how Qualytics can help your organization achieve proactive, business-driven data quality management. Book a demo.