What are the alternatives of processing personal data?
Do you want to learn more about what are the alternatives of processing personal data? Watch our video focused on this topic.
The legal implications for testing purposes
Testing and analyzing personal data can be a valuable resource. But using personal data comes with legal implications that must be considered.
What test data do you use?
The test data should be representative of the production data, so that the test results are meaningful. Check what test data to use.
Synthetic data generation – testing perspective
What is the testing point of view on the synthetic data generation? Learn more by watching our video which explains this topic.
Do you use privacy sensitive data as test data?
Using privacy sensitive data as test data is illegal in many cases, as it violates privacy laws and regulations such as GDPR and HIPAA.
Does your test data reflect your production data?
The test data should be representative of the production data, but sometimes it may not reflect it exactly. The goal is to use test data that closely resembles production data so that the test results are accurate and meaningful.
Does it take a lot of time or manual work to get your test data right?
Getting your test data right can be time-consuming and require manual effort, especially if the data needs to accurately reflect real-world conditions. However, the effort invested in properly preparing test data can pay off in the form of more reliable and effective testing. Thanks to automated techniques, such as synthetic data, can help to minimize the manual work involved.