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Case Study

Accelerate new product launch through Quality engineering

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Challenges

  • As an industry leader offering life and annuity and retirement products, the client had frequent product releases to meet the competitive market conditions and regulatory changes
  • There was a need to enhance customer and intermediary experience and align them to transformation driven changes in business operations
  • The regression suite was not periodically updated, and test coverages were incomplete
  • The client wanted a mechanism that ensured quality releases for new product rollouts, enhancements, and BAU
  • Achieving test coverage optimization while reducing the total cost of testing and time-to-market was another top priority for the client

Solution

  • Mindtree handled the testing of 120+ applications across business functions, including illustrations, new business processing, enrolment, underwriting, policy administration, customer and intermediary self-service, and distribution for individual & group segments across product types in life, annuities, retirement plans, voluntary/group benefits lines of business
  • Our testing services included testing across Commercial-Off-The-Shelf (COTS) products such as Accenture Life Insurance & Annuity Platform (ALIP), Foresight, and Vitech
  • We built a repository of product X process matrix, which comprised of – process flows, E2E test cases for each event/transaction
  • Optimized the test coverage by leveraging risk-based testing framework to optimize the regression suite
  • Our team leveraged open-source frameworks and Mindtree IPs for addressing the automation, Extract, Transform, and Load (ETL), and data testing requirements of the client
  • We implemented an on-demand test data management using GenRocket integration
  • To ensure the solution delivered expected results, our team piloted service virtualization to reduce dependency on test data for regression/performance testing
  • We adopted a phased transition approach where applications were clustered and prioritized by inflight releases and business priorities
  • BA-QA model was leveraged for knowledge management during and post-transition

Benefits

  • Contributed to ~50% reduction in IT implementation activities related to insurance products launch through quality engineering
  • Automated, on-demand provisioning of test data that reduced the test data generation effort by ~80% across – illustration, new business processing, underwriting, policy servicing, fund management, and claims/withdrawal – while reducing dependency on the copy down data from production
  • Automated regression coverage was increased from 35% to >90%, while the regression cycle time was reduced by over 60% (from 4.5 days to 2 days)
  • Adoption of Acceptance Test Driven Development (ATDD) model enabled test automation right from Day 1 of the sprint cycle
  • The service virtualization ensured test continuity by reducing dependency on the availability of services during initial sprints

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