Dummy Data: Definition, Example & How to Generate It
Dummy data isn’t exactly dumb — on the contrary. Analysts that use dummy data are often the smart ones in the room, since dummy data is kind a safety mechanism for data integrity. It’s a trial subject of sorts, applied to unknown programs, or program modifications, before valuable data is used.
OK, that’s a high-level view, but what is dummy data really?
Contents
Definition
Dummy data is mock data generated at random as a substitute for live data in testing environments. In other words, dummy data acts as a placeholder for live data, the latter of which testers only introduce once it’s determined that the trail program does not have any unintended, negative impact on the underlying data.
For example, a company implementing a new accounting system uses dummy data to ensure its bookings are stored correctly before inputting live accounts.
You can think of dummy data like a car crash dummy — you hope nothing bad happens to it while testing, but if something bad does happen, you can fix the problem with no negative impact on your valuable data assets.
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