Service Offerings

Enterprise test data management

Quality test data is necessary for improving the quality of the product. However, managing the quality of data is often challenging due to factors such as complex database structure, limited infrastructure, data sensitivity compliance, and the lack of data conforming to business rules.

Infosys Test Data Management services ensure a high-degree of test coverage by providing the right data in the right quantity and at the right time in a non-production environment. Our services blend data management practices, in-house test data management tools, and partner solutions to deliver end-to-end traceability of test data.

The Infosys advantage

  • End-to-end test data management solution involving commonly used industry and in-house tools for the following areas:
    • Data extraction / masking / mining / archival
    • Data generation / refresh
    • Data quality analysis
  • Infosys tools / accelerators
  • Pool of TDM consultants certified in standard industry TDM tools
  • Alliance with leading tool vendors such as CA TDM / Informatica TDM
  • Rich experience from  over 50 testing engagements involving test data management aspects conducted previously

Challenges, solutions, and benefits of enterprise test data management services are mentioned in the table below:

Multiple test environments and complex test data requirements
  • Complex data mining and profiling processes
  • Poor data synchronization across environment
  • Expanding data volumes and spiraling storage cost
  • Methodologies, tools, in-house solutions and expertise in creating and sub-setting data
  • Validates business functionality
  • Improves QA effectiveness
  • Reduces the data provisioning cycle time by 20–30 percent
  • Optimizes environments
  • Reduces storage cost by more than 40 percent
Data security in non-production environments
  • Exposure to sensitive personal information in non-production environments
  • Regulatory compliance issues
  • Industry tools and in-house solutions such as Infosys Enterprise Data Privacy Suite for data masking
  • Ensures regulatory compliance
  • Reduced business risk exposure in counterparty risks by 50 percent
  • Addresses operational constraints
  • Eliminates the risk of revealing sensitive data
Quality and effort spent on getting right data
  • Unavailability of right data at right time in the right environment
  • Unavailability of high-volume data
  • Data conflicts across various project teams
  • Workflow-based data provisioning methodology
  • Tool-based approach to leverage capabilities of vendor products and in-house solutions
  • Enhances test coverage
  • Fastens turnaround time
  • Provides on demand and rich test data
  • Improves data quality
  • Has better time to market
  • Saves 25 percent  effort on test data provisioning with data reuse
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