Overview
Align application data management with your business objectives to optimize performance, control costs and reduce risk
Streamline test data management to improve application quality, cut IT costs and accelerate solution delivery
Apply selection criteria to ensure complete test coverage
Edit data within its relational context to create error and boundary conditions
Compare baseline data against successive test run results to identify errors and improve application quality
Minimize storage footprint of test environments to cut costs
Consolidate data from multiple interrelated applications to create a “production-like” test environment that accurately reflects end-to-end business processes
Save data extracts to quickly and easily refresh test environments
Apply a single, scalable solution across applications (Oracle E-Business Suite, PeopleSoft Enterprise, Siebel, JD Edwards EnterpriseOne, SAP. AmdocsCRM), databases (DB2, Informix, Oracle, Sybase, SQL Server, XML) and platforms (Windows, Unix/Linux, z/OS)

