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Frequently asked questions
What is Test Data Management (TDM)?
Test Data Management is the process of making representative, secure, and compliant test data available to developers and testers in an efficient and controlled way.
What is data masking?
Data masking is the process of irreversibly replacing sensitive information in a dataset with fictitious but realistic values, so the data can be used safely in test environments without exposing personal or confidential information.
Can AI fully replace production data for testing?
No. AI-generated synthetic data works well for simple, small-scale scenarios, but struggles with complex data models, dependencies between tables, and enterprise-scale datasets. It works best as a complement to anonymised production data.
Who should own Test Data Management in an organisation?
Organisations that succeed with TDM typically centralise it within a dedicated platform or IT team. This ensures specialist knowledge is available, quality is consistent, and all teams are properly supported without building their own solutions.
Why can't we just use production data for testing?
Production databases often contain sensitive personal and business data, are very large, and are subject to privacy laws like GDPR. Using them in test environments introduces significant security and compliance risks.