Generate realistic test data without real customer data
Software companies generate realistic but anonymous test data
Fits: IT & software development
You test with data that behaves like real data, with umlauts, special cases and consistent relationships between tables, without a single real customer record sitting in test or development environments. You find errors earlier that would otherwise only show up with real data.
Is this for you?
- You currently test with copies from production or with a few manually created records such as “Max Mustermann”.
- Your data model is documented: tables, fields, formats and business rules can be written down.
- Test and development environments are less protected than production, or external service providers work in them.
Take one table from your data model, for example customers with contracts, and write down only field names, formats and rules, no real values. Use the template below to have a script written that generates 200 fictitious customers from this, and check whether your application reads in the file in the test environment.
How to go about it
- Define which test data you need
- Provide the data model and sample values
- Have a generator script written
- Check the generated data against the rules
- Build the generator into the test pipeline
- Document the generator and maintain it with the data model
Templates to copy
The complete guide
- 6 steps explaining exactly what to do
- 3 proven templates to copy into your own AI
- Safe use: data, checking, deciding, informing
- Pitfalls, effort and how to recognise success
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Same approach, other use cases
13 more use cases follow the pattern “Creating software & code”.
IT-01 · Legal status 08.10.2026