Software Quality Assurance

Test Data Management

We as a test management team would work with technical teams to ensure the necessary data types are loaded in the environment.

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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?



  • TDM team organization
  • Define data requirements and templates for data management
  • Establish a service level agreement
  • Appropriate plans and papers signed off


  • Collection/consolidation of data requirements
  • Asses for gaps and impact of data modification
  • Define data security, back up, storage, and access policy
  • Decide strategy for data preparation
  • Decide strategy for data profiling
  • Define data security, back up, storage, and access policy


  • Choose the right tools for TDM needs.
  • Select automation tools for data preparation and tests running


Offer a pilot or proof of value to show the selected tools can deliver the TDM required within the client organization, and that the proposed process can deliver the expected benefits.



  • Provide a full TDM rollout
  • Run automated tests


  • Supports and trains customers all the way through the process and even after the rollout.

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