Introducing Syntheticus TDM Revolutionize Test Data Management With Synthetic Data

Overcome data limitations, enhance security, and ensure compliance in your test data management strategy.

Introducing Syntheticus TDM_Illustration

Overcoming Obstacles in Test Data Management

Data scarcity, data quality concerns, and security measures pose challenges for organizations in test data management. With more enterprises creating makeshift mock data for end-to-end testing, system failures and debugging delays are all too common.

ISO 27001:2022 standards and regulatory bodies like FINMA in Switzerland have increased requirements for protecting production environments. Synthetic data emerges as a viable solution for improving data quality, providing strong security, and meeting compliance standards.

Maximizing Testing Potential With Advanced Data Solutions

Unlocking testing potential

Synthetic data empowers organizations to generate unlimited amounts of high-quality, representative data, overcoming the traditional data scarcity constraints. With synthetic data, test engineers perform end-to-end testing without the risk of compromising sensitive or personal information. It ensures consistent data by using predefined rules and algorithms, reducing errors and discrepancies in test results.
Mitigating privacy risks

Stricter data privacy regulations and the constant threat of data breaches have made data security a top concern for organizations. Synthetic data eliminates the need to use sensitive or personal data in testing, reducing the risk of exposure and potential consequences. It allows for the safe sharing of test environments with third-party vendors or partners, enabling collaboration while maintaining data privacy.
Enhancing testing coverage

Synthetic data enables organizations to create a wide range of test scenarios and edge cases, improving testing coverage and accuracy. This helps test complex systems and applications better, reducing the chance of critical errors or failures when used in production.
Reducing storage costs

Storing and managing large amounts of real-world data for testing purposes is costly for organizations. With synthetic data, there is no need for expensive storage solutions or constantly updating datasets. This results in significant cost savings for organizations while still providing high-quality testing data.
Speeding up testing cycles

Using synthetic data speeds up testing cycles, as it eliminates the need to manually create or collect real-world test data. This allows for more frequent and efficient testing, reducing the overall time and effort required for software development. As a result, organizations can deliver quality products to market faster, gaining a competitive edge.

Synthetic data empowers organizations to generate unlimited amounts of high-quality, representative data, overcoming the traditional data scarcity constraints. With synthetic data, test engineers perform end-to-end testing without the risk of compromising sensitive or personal information. It ensures consistent data by using predefined rules and algorithms, reducing errors and discrepancies in test results.

Stricter data privacy regulations and the constant threat of data breaches have made data security a top concern for organizations. Synthetic data eliminates the need to use sensitive or personal data in testing, reducing the risk of exposure and potential consequences. It allows for the safe sharing of test environments with third-party vendors or partners, enabling collaboration while maintaining data privacy.

Synthetic data enables organizations to create a wide range of test scenarios and edge cases, improving testing coverage and accuracy. This helps test complex systems and applications better, reducing the chance of critical errors or failures when used in production.

Storing and managing large amounts of real-world data for testing purposes is costly for organizations. With synthetic data, there is no need for expensive storage solutions or constantly updating datasets. This results in significant cost savings for organizations while still providing high-quality testing data.

Using synthetic data speeds up testing cycles, as it eliminates the need to manually create or collect real-world test data. This allows for more frequent and efficient testing, reducing the overall time and effort required for software development. As a result, organizations can deliver quality products to market faster, gaining a competitive edge.

Syntheticus TDM Elevates Your Testing Capabilities

Relational databases
Data bitemporality
Test scenarios
Production environment
Testing workflows

Relational databases

The Syntheticus platform is designed to handle large relational databases with multiple tables, offering versatility and flexibility for complex data structures. This allows for accurate and comprehensive testing of enterprise-level applications.

Data bitemporality

Understanding temporal data is crucial for effective testing, especially in industries where historical data is important. Syntheticus TDM supports longitudinal data bitemporal modeling, allowing you to create and test scenarios based on historical and time-based information, providing a more realistic testing environment.

Test scenarios

Effective test data management requires access to datasets that mimic real-world conditions. Syntheticus TDM generates high-quality datasets that closely resemble real data, enabling thorough testing scenarios, ensuring comprehensive test coverage, and significantly reducing the time and effort required to acquire reliable test data.

Production environment

Ensuring the security of your production environment is crucial for both regulatory compliance and maintaining your organization's reputation. Syntheticus TDM implements advanced measures to safeguard your sensitive data while maintaining data integrity. This provides a secure testing environment without concerns about data breaches or compliance issues.

Testing workflows

Syntheticus TDM integrates seamlessly into your existing testing processes and systems, offering versatile data-sharing options. Whether through APIs, batch uploads, or direct access to test environments, our platform streamlines test data management processes, reduces costs, and minimizes resource requirements.

Collaborative Ecosystem with Workflow Orchestration_Web Illustration

Introducing Syntheticus TDM Revolutionize Test Data Management With Synthetic Data

Overcoming Obstacles in Test Data Management

Maximizing Testing Potential With Advanced Data Solutions

Unlocking testing potential

Mitigating privacy risks

Enhancing testing coverage

Reducing storage costs

Speeding up testing cycles