5 reasons why you should go synthetic for testing
Test data generation and management is a minefield. Data privacy, utility, and agility are at risk with less-than-ideal tools and processes. This ebook will teach you all the pitfalls you need to be aware of. The test data status quo needs to be disrupted to meet today's agile and privacy principles. Remember, the first step towards healthy test data habits is awareness of all the things that are wrong with test data management today. AI-generated synthetic test data is a smarter choice on many fronts. Download the ebook to read about:
- high-risk production data
- legacy anonymization techniques to avoid
- the limitations of fake data generators
- why workarounds like canary testing and fake users can be dangerous
Test data generation is broken. This ebook collects the most important pitfalls all software testers and QA teams should watch out for.
