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A 200-year-old U.S. property and casualty insurer depended on decades-old legacy systems to support 13 service lines across the organization. These interconnected systems made automation a distant dream, as product releases for one service line impacted the others. Although the insurer had released 1,100 applications and interfaces, only 20 percent of the processes involved in the quality assurance (QA) service line were automated. To enhance its automation processes and to optimize and reduce QA costs, the organization relied on Cognizant. As the insurer’s end-to-end QA strategic partner, we provided 500 resources to conduct manual testing. We also developed a strategy and roadmap to tackle the insurer’s QA automation challenges.
Cognizant’s solution optimized and automated QA at the insurer. We began the automation journey by transforming 40 percent of the organization’s QA workers to quality engineers (QE). This increased both test productivity and test execution. To foster adoption and make continuous improvements in the automation environment, we enabled DevOps by implementing continuous development/continuous integration (CD/CI) for more than 70 applications. In addition, we deployed a number of traditional and non-traditional automation tools, including robotics, intelligent automation and Cognizant’s proprietary solutions, to enable the maximum opportunities to leverage automation and analytics-driven testing.
To help the insurer navigate the challenges inherent in making so many significant changes and speed adoption, Cognizant developed training materials and conducted numerous workshops to communicate the many benefits automation has on quality and productivity.
Over a five-year period, Cognizant successfully modernized the insurer’s QA tools and processes. This reduced QA to IT costs from 15 percent to 7 percent and more than doubled the organization’s ability to leverage its automation opportunities. The insurer also realized a 20 percent year-over-year increase in test productivity and a 30 percent increase in test execution.
reduction in QA to IT costs
ability to leverage automation opportunities
product defect leakage
y-o-y increase in test productivity
y-o-y increase in test execution
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