Test data management (TDM) is one of the most time-consuming and resource-intensive problems in continuous delivery today. Nowadays, over 77% of companies use a manual approach to TDM (Tricentis research, 2021). This slows down testing, and agile delivery. What’s more, production data is stored and integrated across multiple, rigorously evolving legacy and modern enterprise applications. This makes the extraction, usage, and masking of production data for testing a major challenge.
Read this white paper to learn 3 key strategies that will help you deal with managing, planning, and provisioning high-quality test data on demand.
In particular, you will learn:
- key challenges faced by agile teams in TDM
- Test data preparation techniques (masking production data, synthetic data generation and gold copy strategy)
- Keeping data stateful across systems for end-to-end testing