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Learn everything you need to know about data de-identification and synthesis to get your developers the test data they need.
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Test Data 101

Useful, realistic, safe—this is the holy grail of modern test data. But what does it take to generate quality data that checks off all of those boxes? In other words, what does it take to get your developers the data they need?

In this ebook, we deep dive all things test data generation, from anonymization to synthesis to what is fast becoming the gold standard for testing and development—data mimicking.

You'll gain insight into:

  • 5 traditional approaches to generating test data
  • Anonymization techniques, from weak to strong
  • Data synthesis and differential privacy
  • And how data mimicking combines the best of the above

This isn't science fiction. It's a new era of algorithmic make-believe. Ready, Developer One?

  • An overview of flywheels and guidance on how to think through yours
  • 5 detailed examples of industry-specific flywheels:
  • 1 product strategy worksheet