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Test Data as a Service
In Technology
Mature Test Data Management is a process that allows organizations to provision efficiency in delivery test data at speed and decrease time to market for software development. Organizations seek for solutions aiming to provide support in the processes of providing test data through full Software Development Life Cycle.
The demand for test data can come from both Functional & Non-Functional testing teams from both development and post go-live phases, as well from departments responsible for Business change implementation. Particular teams may require diversity in test data entities of different complexity and volumetry.
Testing teams are keen to optimize testing efforts and costs and overcome the challenges around test data delivery, like the lack of time to prepare data, keep test data secure or spinning up the test environments.
Best quality test data are coming from production - through masking techniques, confidential information are protected as ensuring compliance with GDPR and other industry standards. Sub-setting allows providing only specific range of test data best fit to requirements. While many organizations cannot utilize production data, the test data generation can be achieved by synthetic data creation - also powerful capability allowing swift test data provisioning.
Based on test data demand and its complexity and volumetry, in order to increase efficiency, the organizations frequently decide to invest in forming dedicated test data team. The team is created with the idea to be an internal service, responsible for test data capabilities development and test data entities delivery among all the teams.
In order to achieve business continuity organizations documenting approach of test data delivery. Test Data Strategy is a strategic level document providing set of guidelines and description of the Test Data Management process addressing key test data challenges.
How EY can help?
- Establishment of highly productive Test Data as a Service team`s, transition of the competencies to the Client,
- Implementation of robust Test Data Strategy, incorporating industry standards, best practices and definition of mature processes and procedures,
- Supporting client with selection and implementation of Data masking (anonymization) and sub-setting solutions,
- Enabling on-demand Test Data provisioning through e.g. custom Self-service tools and Test Data recovery through Golden data set restoration on test environments,
- Development of rapid synthetic test data generation solutions,
- Making test data management part of Continuous Integration and rapid delivery of test environments full of test data entities.