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Enabling Wealth Management provider to adopt continuous testing for Agile and DevOps Project

The Client

The customer is a wealth management provider focused on the BFS sector that has clientele around the world.

Problem Statement

The customer stated the reasons below for the adoption of continuous testing for their Agile / DevOps projects:

  • Increase coverage for automated regression testing
  • Optimize test coverage without impacting the quality
  • Reduce operational cost for testing delivery

Coforge Solution

Coforge proposed a solution that combined its BFS expertise and testing expertise. The solution would ensure increase in quality and productivity by offering comprehensive testing strategy and execution for both functional and non-functional units for all wealth management business processes, multi-channel transformation, and automation programs.

For the Agile and DevOps projects, Coforge focused on the continuous testing and implementation of governance principles of business outcomes. The continuous testing framework involved the early use of risk-based analysis and Coforge’s in-house cognitive testing capabilities. The team’s integrated quality engineering accelerators portfolio comprises an effort optimizing tool, ROI analyzer, process maturity facilitators, web and mobile automation scorecards and frameworks, an orthogonal arrays-based tes coverage maximizing tool, analytics-driven monitoring, and a continuous improvement framewor

The focus on testing transformation was with the aim to establish continuous testing at all stages of the development journey and to enable test evaluations for improved quality outcomes. The figure above shows the list of different continuous testing services and the solutions that Coforge provided to establish quality improvements through continuous testing for the customer.


Coforge’s innovative solution consistently met 100% performance levels on TAT and SLAs. This helped the customer to focus more on their core competencies and made them more responsive for future organic and inorganic growth.

  • 35% increase in test efficiency for legacy applications by implementing RBT
  • 45% increase in test automation coverage
  • 30% reduction in test execution cost by automation
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