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.
Learn more about legal perspective of synthetic data, what are the challenges of using synthetically generated data and how to overcome them.
Find how at the SAS Summer Camp 2022 worked on the data and analytics challenges, in order to take their innovations to the next level?
A joint whitepaper with SAS about the churn prediction with synthetic data for a telecom company.
Learn more about why using synthetic data as test data is recommended by The Dutch Data Protection Authority?
Webinar: Why do organizations use synthetic data as test data? Testing and development with representative test data is essential to deliver state-of-the-art tech solutions. However,…
Read the full article about Syntho expansion to the US! As part of the ScaleNL program, we met top investors, and organizations in the US.
