Relevant downloads
Relevant downloads
Relevant downloads
Testing and analyzing personal data can be a valuable resource. But using personal data comes with legal implications that must be considered.
The test data should be representative of the production data, so that the test results are meaningful. Check what test data to use.
What is the testing point of view on the synthetic data generation? Learn more by watching our video which explains this topic.
Using privacy sensitive data as test data is illegal in many cases, as it violates privacy laws and regulations such as GDPR and HIPAA.
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.
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.
Watch this snippet video and learn more from the legal professional about the legal perspective of using production data as test data.
