IBM InfoSphere Optim in AI answers

IBM Optim Test Data Management automates and streamlines the creation and management of nonproduction test data to accelerate application delivery, improve testing efficiency, and reduce risks from inaccurate data. It manages data at the business-object level across multiple databases and applications, enabling production-like end-to-end environments, federated data extraction, and governance with predefined classifications and privacy rules, including automated data masking. The platform scales with development needs, supports on-demand data provisioning and data comparisons, and offers data analysis to reveal hidden correlations while protecting sensitive information.