UAT and training
Business users judge a release by whether the data looks like their day job: their customers, their materials, their open items. A production copy gives them that, along with every real name and salary. Synthesized prepares UAT and training systems with recognisable, masked data, and rebuilds them for every test round and every training group.
Who it's for
UATBusiness testersKey users sign off a release in user acceptance testing. They need their own business, masked, in the state their scenarios start from.End-user trainingTraining teamsTrainers run the same exercises for group after group. Every trainee needs a clean, identical starting point.
RolloutsRollout teamsNew countries, plants or acquired businesses train and test before go-live, on data that looks like theirs.Why it breaks
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04How it works
The business processes, company codes and plants each test round or course covers.
Materials, plants, prices and configuration stay as they are. Names, addresses, bank details and salaries are masked.
Generate a customer, order or employee for each tester or trainee, so nobody works on someone else's data.
Rebuild the system from the same rules before each round or group, from the API, the command line or a scheduler.
UAT and training
We've got you covered
User acceptance testing: the stage where key users from the business run their own scenarios on a release and sign it off before go-live. It needs data that looks like their business, in the state their scenarios start from.
Yes. Materials, plants, prices, configuration and document flows stay as they are; only personal and confidential values change. A key user still sees their product range and their order types.
Yes. A set of customers, orders or employees can be generated for each trainee, so exercises don't collide.
Rerun the same workflow from the API, the command line or your scheduler. The client is rebuilt from the same rules each time.
Employee data is masked with the same rules across systems. See SuccessFactors anonymization.
It can be. The same rules feed QA, test automation and UAT, so a defect found in one can be reproduced in another.
Next step
Tell us the course or the acceptance round. We'll prepare one training or UAT client with masked data, and show a reset.
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