K2view Test Data Management enables enterprises to deliver complete, compliant, and production-like test data on demand for faster and more reliable software delivery. Built on entity-based data products, it composes test data by unifying production data across systems into business entities such as customers or loans. Data is read from source systems and masked on access, ensuring compliance without duplicating or exposing sensitive data, while preserving full referential integrity and context. This approach enables Dev and QA teams to easily provision, subset, reserve, and refresh the exact test data they need through true self-service, without understanding underlying system complexity. Uniquely, K2view automatically composes and provisions test data directly from test cases, ensuring full coverage of test scenarios without manual effort. The solution supports AI-driven and rules-based synthetic data generation when production data is limited, and integrates with any data source and CI/CD pipeline to scale test data delivery across cloud and on-premises environments. Key capabilities include: • On-demand, self-service provisioning of test data for development and QA teams • Cross-system data subsetting based on business entities • Preservation of referential integrity across all datasets • Integrated data masking and compliance enforcement • Synthetic data generation using AI, rules, and data cloning methods