Enterprise-Scale Test Data Transformation for a Global Specialty Insurer
Qualitest partnered with Synthesized, an E2E Test Data Management (TDM) platform, to design and implement an AI driven test data management solution for the client, transforming test data from a delivery bottleneck into a strategic enabler of quality, speed, and regulatory confidence.
Challenge
The global specialty insurer operated across a complex landscape of more than 40 core business applications, supporting critical insurance functions such as policy administration, underwriting, and claims. Testing teams relied heavily on production data copies to achieve realistic test coverage, but this approach introduced significant compliance risks, manual effort, and lengthy test cycles. Test data preparation often took weeks, lacked standardization across teams, and constrained the ability to scale automation.
With increasing regulatory scrutiny and upcoming audit commitments, the organization needed a secure, compliant, and enterprise ready test data strategy that could accelerate delivery without compromising data privacy.
Solution
Qualitest partnered with the insurer to design and implement an enterprise test data management solution leveraging the Synthesized platform. The solution automated data masking, synthetic data generation, subsetting, and provisioning, enabling realistic testing without reliance on production data.
By preserving full referential integrity and embedding compliance controls into the data lifecycle, Qualitest transformed test data into a secure, reusable asset – accelerating testing, supporting audit readiness, and establishing a standardized foundation for future TestOps and DevOps initiatives.
60%
faster test data production
28M+
rows of production data secured
100%
referential integrity maintained
Zero
security waivers required
Client overview
The client is a multi-billion-dollar international specialty insurer and reinsurer, operating across North America, Europe, and Asia, with authorization to write business in more than 80 countries. Known for underwriting excellence, the organization leverages data and technology to improve pricing accuracy, claims handling, and operational efficiency.
The organization required a scalable, compliant, and automated approach to test data that could support accelerated delivery without compromising data privacy. To achieve this, they embarked on an enterprise wide initiative to modernize its test data management strategy.
