Best Test Data Management Services

The key to how well an application works once rolled out in its production environment depends on the rigorous testing that goes into it. However, testing in the production environment is not a feasible option, and due to security & privacy concerns, nor is creating a copy of production data. Test data creation & management provides your organization with a set of data that aligns with the production environment, captures all the relevant properties & formats while masking sensitive information; thus enabling you to apply meticulous testing for glitch-free deployment.

Cigniti provides automated Functional Testing services that ensure the verification & validation of applications for global enterprises. Our software functional testing services focus on testing applications against defined specifications and meeting the end user acceptance for seamless and robust functionality.

It is a known fact that without high quality data, testing assurance is unattainable hence a good test data management solution is much needed. In TDM we can satisfy the test data requirements of test teams by including high-quality data with right volume and required format.

Informatica Intelligent Data Management Cloud (IDMC) aids data governance, metadata management, masking, and transformation. It's used for centralizing master data, managing ETL processes, ensuring data quality, and maintaining compliance. Notable features include data discovery, profiling, lineage, integration, and automated processes. Users desire better flexibility, support, and interface enhancements.

QA Mentor’s Test Data Management (TDM) Service has been designed to help your company with data creation, management, and protection to keep your business compliant with all legal regulations without sacrificing expediency or quality.

Cigniti’s TDM services are designed to meet and satisfy all test data demands of enterprises and Independent Software Vendors (ISVs) for complex IT deployments.

Sogeti's test data management services help our clients to improve the way they create, manage, use and maintain test data. Crucially, it helps 'right-size' the number and size of test environments needed, by introducing a smart solution for getting the right data available.

A holistic Assurance Engineering (AE) approach ensures that quality is factored in all stages of the SDLC and seamlessly works with Agile/DevOps processes. ValueLabs has a well laid down methodology and set of tools/accelerators to enable its clients to transition to AE with minimum risk.