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Focusing on Quality Engineering to elevate enterprise QA maturity

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Client

A US-based Fortune 500 company, offering a diverse range of financial services and solutions across life insurance, annuities, retirement plan services, group protection and employee benefits.

Challenges

As an industry leader, the client had frequent product releases and process enhancements to meet the competitive market conditions and regulatory changes. In addition, the client embarked on digital transformation initiatives across business operations, aimed at enhancing customer and intermediary experience.

The client had to manage a multi-vendor environment for testing services. Some of the challenges faced included incomplete test coverages, the regression suite not being periodically updated and minimal testing automation capability across all applications. The task at hand involved ensuring quality releases for enhancements, new product rollouts, and BAU. There was a need for test coverage optimization to ensure reduction of total cost of testing and time to market.

Solution

Mindtree handled the testing of 120+ applications, catering to individual and group businesses across different areas/products.

  • New business and policy admin applications including third party applications such as ALIP, Foresight and Fidelity’s UAO
  • Intermediary applications for advisors, broker dealers and wholesalers supporting onboarding, licensing, performance management, reporting, commissions and incentives management
  • CRM applications enabling campaign management, sales & service, and customer management
  • Data warehouse & reporting tools supporting the needs of sales, marketing, finance and accounting units.

Mindtree adopted a phased transition approach where applications were clustered and prioritized by inflight releases and business priority. We leveraged a BA-QA model for knowledge management during and post transition. We optimized the test coverage by having BAs create and review the test scenarios with traceability. The regression suite was optimized by leveraging risk-based testing framework. We built a repository of Product x Process matrix which contained process flows and E2E test cases for each event/transaction

Mindtree established a tiered team structure with

  • An Agile QA team focusing on in-sprint automation and feature testing,
  • A Portfolio QA team focusing on cross functional testing and business process consistency, and
  • A Center for Enablement (C4E) focusing on elevating Enterprise QA maturity with process standardization and adoption of other quality engineering aspects around automation, test data management, etc.

Mindtree leveraged open source frameworks and Mindtree IPs for automation, ETL, and data testing. We implemented on-demand Test Data Management using GenRocket integration and piloted service virtualization to reduce dependency on test data for regression testing and performance testing.

Benefits

  • Transition of 120+ applications including testing was successfully completed within the planned time frame of nine months
  • Time to market was improved through regression optimization and automation
    • Regression automation coverage increased from 30% to 90%
    • Regression execution window reduced by 35%, resulting in increased intake of service tickets by 20%
    • In-sprint automation of 80% achieved, leading to increase of in-sprint velocity by 27%
  • Mindtree improved the quality of testing by increasing test data accuracy from 40% to 95% through ondemand test data generation
  • Service virtualization eliminated test data dependency for automated scripts across 21 applications
Focusing on Quality Engineering to elevate enterprise QA maturity

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