Background: 

A major U.S.-based insurance provider faced persistent data quality challenges across its enterprise systems. With complex data pipelines spanning mainframe, cloud, and in-house applications, the organization struggled with manual validation, delayed deployments, and high QA costs. 

To support timely business decisions and maintain compliance, the insurer needed a robust, automated approach to data quality assurance, one that could scale with its growing digital ecosystem. 

Challenges: 

• Data accuracy could not be confidently confirmed from flat file sources. 

• Manual sampling led to high effort, delays, and inconsistent validation. 

• Low test coverage resulted in reprocessing cycles and costly QA inefficiencies. 

• Complex data transformations lacked integrity checks, introducing risk to end-user outputs. 

• Multiple legacy and modern platforms made automation more difficult to implement. 

Solution: 

Narwal designed and implemented an enterprise-grade data quality automation framework: 

• Built a custom end-to-end test automation solution spanning ingestion, transformation, data mart, reporting, and UI. 

• Unified automation across mainframe, cloud, and business-critical in-house applications. 

• Deployed a scalable data comparison engine capable of validating 50 million records in under 10 minutes. 

• Leveraged Narwal’s Managed Services Model to continuously enhance automation coverage and maintain QA reliability. 

• Delivered automation as a service aligned with real business needs—not just technology constraints. 

Business Outcomes: 

• Automation Coverage: Improved from 0% to 80% 

• Test Spend: Reduced by 65% 

• Data Comparison Performance: Validated 50 million records in 10 minutes 

• Release Velocity: Accelerated cycles by 85% 

• Manual Effort Saved: ~2,000 hours per month 

Conclusion: 

With Narwal’s solution, the insurer has turned data quality from a bottleneck into a business enabler empowering confident decisions, faster releases, and measurable cost savings. By aligning automation strategy with operational needs, the organization is now equipped to meet future demands with scalable, trusted data quality processes. 

Partner with Narwal today to implement trusted, scalable, and AI-powered solutions that drive accuracy, efficiency, and business confidence.