Insurance Use Case Study
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- GenRocket Multi-User Server (GMUS)
技术栈
- Synthetic Data Generation
- Testing Automation Framework
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
技术
- 平台即服务 (PaaS) - 数据管理平台
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 金融与保险
适用功能
- 质量保证
- 商业运营
用例
- 质量预测分析
- 监管合规监控
服务
- 软件设计与工程服务
- 系统集成
关于客户
The customer is a Fortune 250 American corporation that operates multiple insurance and investment management businesses including variable and fixed annuities, life insurance and investment management products through financial advisors, financial intermediaries and sales professionals.
挑战
The business uses a home-grown testing automation framework and, over the years, had developed a range of in-house tools to generate the data needed for 100+ testers to run functional, non-functional and regression tests. Unfortunately, the in-house tools could not keep up with the demands of the testing team causing delays and limiting the level of testing by the QA organization.
解决方案
In 2018, the insurance business decided to invest in an enterprise-class synthetic test data generation platform and selected GenRocket. Using the GMUS (GenRocket Multi-User Server) synthetic data is now enabled as an on-demand feature of the testing automation framework. Testers use a self-service portal and select all the data they need in the portal. A request is sent from the portal to the GMUS and synthetic data is generated in real time and delivered directly into the tester’s testing automation framework.
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