In this illustration we’ll generate data for the following demographic data elements. You’ll have to leave less up to the imagination for your product owners or stakeholders. Other tasks such as product demos can be more realistic with randomly generated data. This will help you more appropriately run performance and stress testing on your application.Īdditionally, using realistic data values instead of “asdf…” everywhere will make it easier for your testers to spot inconsistencies and other unexpected data issues. You’re actual customer data set may be relatively small and generating your own data gives you the ability to massively scale up the amount of data you test with. Other Benefits of Generating Random Demographic Data There are complex regulations that you don’t want to run afoul of, but most of all you want to protect your customer’s sensitive data – you’d want nothing less for your own data. You wouldn’t want to risk exposing PII (Personally Identifiable Information) or other sensitive information.Īlso, some of the data you may need to test would be restricted or protected under the Sarbanes-Oxley Act (SOX) and/or the Health Insurance Portability and Accountability Act (HIPAA). Due to the nature of the data, it may be unfeasible for you to access real data to test your application or process. They primarily center on testing scenarios.
There are several reasons I can think of that you would want to or need to generate random demographic data.
#Random data generator for excel how to#
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