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Why Executives Need to Embrace Fake Data in Software Testing

In this contributed article, Alexey Sapozhnikov, CTO and Co-Founder of prooV explores how ideas move from concept to product through various forms of testing. Just as scientists use laboratories, enterprises (in theory) generate test environments to evaluate the potential and compatibility of new technologies before implementing them. Executives understand the importance of using test environments to minimize security risks, but are understandably fearful of inaccurate results based on their experiences with fake data. With the introduction of Deep Mirroring and Predictive Analytics technologies for testing, fake data should no longer be a concern—it should simply be embraced as a tool in the process of innovation.