Test Data Management

Top reasons that indicate you need Test Data Management

• A lot of false defects arise because of data issues.
• Testing deadlines are not met and the application goes live without proper testing because of issues with test data generation and test data availability.
• There is very little data available for testing compared to voluminous production data, hindering test efficiency, and quality.
• The test data set is of the same size as production data, hindering test efficiency, and speed.
• The team wastes significant time preparing test data rather than testing the application.
• The testing team depends on another team or a centralized team to provide the required test data.
• The testing team complains that test data generation is a very laborious and complicated process.
• Testing teams are not able to reuse the test data set.
• Teams are not able to regenerate the same test data set with sufficient precision and accuracy.
• There is a huge dependency on the upstream systems to create test data.
• Increases in data set size, upstream systems, database instance, and data sets makes it difficult to manage the test data.

Test Data Management (TDM) benefits

• Optimal data coverage is achieved through intelligent tools and techniques based on data analysis strategies.
• Version controlled data requirements and test data ensure complete traceability and easier replication of results.
• Detailed analysis and review of data requirements ensure early identification of issues and resolution of queries.
• Synthetic data can be created from the ground up for new applications.
• Errors and data corruption can be reduced by including defined TDM processes in the testing life cycle and by adopting TDM tools.
• Clear data security policies increase data safety and recoverability.
• Well-defined processes and controls for data storage, archival, and retrieval support future testing requirements.

How does Test Data Management deliver?

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