Test Data Management
Create, maintain, and control representative test data for non-production environments
Value of synthetic data
Comprehensive Testing Coverage
Create diverse datasets that cover wide ranges of scenarios, improving test accuracy and efficiency
Optimized Testing and Development
Boost productivity and speed up development with adjustable data volumes for your test environments.
Production-like Test Data
Enhance testing accuracy by generating test data that closely replicates production environments.
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De-identification & Synthetization
Comprehensive Testing with Representative Date
Utilize our best-practice solutions to generate test data that reflects production data for comprehensive testing and development in representative scenarios.
Rule-based Synthetic Data
Simulate Real-World Scenarios
Create synthetic data based on pre-defined rules and constraints, aiming to mimic real-world data or simulate specific scenarios.
Subsetting
Create Manageable Date Subsets
Reduce records to create a smaller, representative subset of a relational database while maintaining referential integrity
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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 to apply test data management
Create, maintain, and control representative test data for non-production environments
Frequently asked questions
Test data management (TDM) is the process of creating, maintaining, and controlling the data used for non-production environments (test, development and acceptance environments).
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.
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.
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