Practical Guide to Data-Driven Testing

Optimal test coverage. Rigorous, automated, for all scenarios and edge cases.

Intelligent test data

  • Access high-quality, fully-compliant and large volumes of intelligent test data on demand 
  • Optimisation of test dataset to increase coverage while decreasing overall size of dataset
  • Discover and eliminate more defects before going into production with shorter test cycles

Complete and scalable test coverage

  • Cover all functional and non-functional test cases 
  • Database level generation, full referential integrity preserved, with the same schemas, data types and statistical properties as the production data

Secure and in full compliance with privacy regulations

  • GDPR, CCPA and HIPAA data privacy compliance
  • Enterprise grade security with SSO and full audit trail capabilities
  • Separation between data usage and ownership (admin access)
Practical Guide to Data-Driven Testing
Practical Guide to Data-Driven Testing

Download this guide for best practices in modern testing:

  • The key differences between data-driven testing and other testing tools and techniques  (i.e. mocking, data masking, obfuscation and using copy of production data)
  • What is intelligent testing data and what are the benefits of applying product techniques to data - Data as a Product
  • The key metrics to consider for data-driven testing and how to unlock its full value
  • Optimising test automation, including the measurement of the test coverage of a test dataset

Download now
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