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Performance Testing of Duck Creek Platform for a Leading Insurance Group

The Client

The customer is a speciality insurance company providing a wide range of property and casualty insurance products and surety bonds to meet the needs of individuals and businesses. With 30+ office locations, the customer has a large footprint throughout the United States.

Customer Challenges

The Key Challenges for performance testing of Duck Creek on Demand application:

Optimized system performance i.e. response time, scalability, and availability Minimal customer journey Insights Low-Performance coverage Huge rework for any minimal business scenario changes No common performance framework resulted in high maintenance of performance test assets Enhancements / Changes in functionality

Our Solution

Reusable correlation framework for handling dynamic parameters for “Duck Creek OnDemand” system Emulate most realistic, geographically distributed network virtualization Customized Report Template MS Azure SaaS-based solution, both test lab & “Duck Creek OnDemand” system in pay as you go, model.

Customer Benefits

“Duck Creek OnDemand - Performance Testing on Cloud” enabled customers to achieve great ROI and better service delivery by enabling high performance and massive scalability to support a large number of users.

Rapid Scripting

The framework quickly updates the user path in a new recording. This automated correlation increased productivity and ensured a reduction in scripting failures and defects. Saved up to 33 % effort for performance script creation.

High Coverage

Easier and faster script generation enables performance engineers to cover more scenarios in the allotted time. This framework enables higher productivity and can help to cover more scenarios in less time thereby improve quality and enhancing productivity.

Reduce Cycle Time

The ability to make frequent, stable performance releases to production. Reduces the cycle time which directly reduced operational cost. Achieved a 40%-50% reduction in performance test cycle time.
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