“We mustn’t use live data for testing.” This is the reason why most organizations start to look at superficial solutions to certain challenges that are ingrained in their DNA. For years, this aversion has driven the way that organizations have changed their “best” practices, struggling to wean themselves off deep-set habits.
These organizations often start with low-hanging fruit and create a capability to replace live data with either masked/obfuscated data or synthetic alternatives. They then believe that’s “job done!” It isn’t. It doesn’t tackle or even reduce many of the core challenges associated with using production in test, let alone the systemic problems that led the organization to test using production data in the first place.
Read the original article: