Today's test data management (TDM) solutions force teams to work with compromised data sets, and push testing to too late in the software development lifecycle. The end result is rework, delayed releases, and costly bugs that cripple production systems. Furthermore, prevailing approaches to test data management - including subsetting, synthetic data, shared environments, and standalone masking--represent flawed solutions that fail across one or more key dimensions.
However, technologies in the emerging virtualized data category promise to transform the process and economics of managing test data. By bringing the benefits of virtualization to application data, companies no longer need to compromise the quality of their test data, or the speed at which test data is delivered.
Download the white paper to learn:
- The 4 S's of test data management: Subsetting, Synthetic data, Shared Environments, and Standalone masking
- Why most approaches to managing test data fail
- What virtualized data is, and how it can be transformative for companies that are looking for solutions to deliver high quality test data with both speed and efficiency