Use case: AI generated test data
Deliver and release state-of-the-art software solutions and with higher quality with AI-generated synthetic test data
Testing and development with representative test data is essential to deliver state-of-the-art software solutions. Using original production data seems obvious, but is not allowed due to (privacy) regulations according to the GDPR and the Dutch Data Protection Authority. This introduces challenges for many organizations in getting the test data right.
The Dutch Data Protection Authority
The Dutch DPA states that testing with personal data is difficult to reconcile with the GDPR
‘’Testing with personal data is difficult to reconcile with the GDPR’’
Challenge
Outdated test data methods introduce "legacy-by-design
- Business logic is not preserved and data does not reflect production data
- No referential integrity and consistency over datasets / databases
Slow and time consuming
- Establishing and refreshing test data in the test environment takes a lot of time
- When data and data schema’s change, an update is required and one can start from scratch
Manual work required
- A lot of manual configurations are needed, for example to establish "templates"
- Manual configurations and complicated user interface requires knowledge and external (consulting) resources
Our solution: AI-generated test data
Create a synthetic data twin based on your production data
Our Syntho Engine mimics your end-to-end production environment to generate a synthetic data twin based on your production data with the power of AI. With our connectors, we load this synthetic data twin fully automatically into your test environment. The result: AI generated test data; an easy and fast solution to generate production-like test data.
Production-like data
- Production-like synthetic test data generated based on your production data by the power of AI
- Preserved referential integrity for consistency over datasets / databases (e.g. for end-to-end integration tests)
Privacy by design
- No use of real data (personal & sensitive) or production data
- Data that is completely new and artificially generated
Easy, fast and agile
- One-click end-to-end refresh of your entire test environment by utilizing the power of AI
- No required manual work with a fully autonomous and integrated approach
The Dutch Data Protection Authority
The Dutch DPA suggest using synthetic data or mock data as test data
‘’You can explore the availability of synthetic data or mock data’’
Case studies
Case studies
August 29, 2023
Case studies
August 28, 2023
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Value
Deliver and release state-of-the-art software solutions faster and with higher quality with AI-generated synthetic test data
- Release faster and shorten the time-to-market
- Spot bugs faster and earlier in the testing cycle
- First-time-right deployments
- Improve overall test, development and delivery quality
- Utilize test and development resources smarter
- Higher NPS Scores
Save your synthetic data guide now!
- What is synthetic data?
- How does it work?
- Why do organizations use it?
- Value adding synthetic data client cases
- How to start
