Organizations have non-production environments to safely develop and test software solutions without affecting the live or production system. Representative test data is important in these environments to accurately mimic real-world conditions and ensure that the software behaves as expected in production, helping to identify and fix issues early in the development process.
Using production data as test data seems obvious, but using real personal data as test data is not allowed due to (privacy) regulations, such as the GDPR and privacy authorities, such as the Dutch Data Protection Authority. This introduces challenges for many organizations in getting the test data right. However, as solution, the Dutch DPA suggest using synthetic data or mock data as test data
‘’Testing with personal data is difficult to reconcile with the GDPR’’
‘’You can explore the availability of synthetic data or mock data’’
Utilize our best-practice solutions to generate test data that reflects production data for comprehensive testing and development in representative scenarios.
Create synthetic data based on pre-defined rules and constraints, aiming to mimic real-world data or simulate specific scenarios.
Reduce records to create a smaller, representative subset of a relational database while maintaining referential integrity
Deliver and release state-of-the-art software solutions easier, faster and with higher quality with representative synthetic test data