Test Data Management
Create, maintain, and control representative test data for non-production environments
Introduction test data management
What is Test Data Management?
Test data management (TDM) is the process of creating, maintaining, and controlling the data used for non-production environments (test, development and acceptance environments).
Why do organizations use Test Data Management?
Production data is privacy-sensitive
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:
‘’Testing with personal data is difficult to reconcile with the GDPR’’
Production data does not cover all test scenarios
Test data management is essential because production data often lacks the diversity required for comprehensive testing (or does not (yet) exist at all), leaving out edge cases and potential future scenarios. By creating and managing diverse test data sets, it ensures thorough testing coverage and helps identify potential issues before deployment, mitigating risks and bugs in production to enhance software quality.
Optimize testing and development
Let your testers and developers focus on testing and development, instead of test data creation. Test data management optimizes testing and development by maintaining and updating test data, saving developers and testers time typically spent on data preparation. Automation of test data provisioning and refreshing ensures data relevance and accuracy, allowing teams to focus on analyzing results and enhancing software quality efficiently. This streamlined process improves overall testing speed, agility, and productivity in the development lifecycle.
All Test Data Management solutions in one platform
Utilize our best-practice solutions to generate test data that reflects production data for comprehensive testing and development in representative scenarios.
Create synthetic data based on pre-defined rules and constraints, aiming to mimic real-world data or simulate specific scenarios.
Reduce records to create a smaller, representative subset of a relational database while maintaining referential integrity
Do you have any questions?
Talk to one of our experts
What are typical use cases for Test Data Management?
De-identification entails the modification or removal of personally identifiable information (PII) from existing datasets and/or databases. It is particularly effective for use cases involving multiple relational tables, databases and/or systems and is commonly applied in test data use cases.
Test data for non-production environments
Deliver and release state-of-the-art software solutions faster and with higher quality with representative test data.
Demo data
Astonish your prospects with next-level product demos, tailored with representative data.
How can I utilize Syntho’s Test Data Management?
Configure and generate!
Easily configure our Syntho Engine for comprehensive test data management, supporting all best practices to enhance testing effectiveness in one platform. With better test data, both developers and testers can optimize the testing and development process for improved superior software solutions.
Save your synthetic data guide now!
- What is synthetic data?
- Why do organizations use it?
- Value adding synthetic data client cases
- How to start
