Location Intelligence Software Enhances Risk Assessment for Willis Re with Precisely Spectrum
公司规模
Large Corporate
国家
- Worldwide
产品
- Precisely Spectrum
- Spectrum Global Geocoding
- Spectrum Spatial
- Spectrum Data Quality
技术栈
- Geocoding
- Data Quality Tools
- Microsoft Technology Suite
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
技术
- 分析与建模 - 预测分析
- 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
- 商业运营
服务
- 数据科学服务
- 系统集成
关于客户
Willis Re is one of the world's largest professional services firms specializing in risk management advising. They determine the best way to manage risk, negotiate and place risk with insurance and reinsurance carriers, and advise corporate clients, insurance carriers, and reinsurance companies. As a global company, Willis Re's clients have risks in more than 150 countries, necessitating the implementation of the latest location-based technologies to model catastrophe insurance and deliver enhanced service to clients. Their operations depend on precise details to manage profit margins on risk effectively.
挑战
Willis Re faced the challenge of improving the speed and accuracy of their client exposure assessments based on location data. They needed a more thorough understanding of risk exposure levels at individual points on a map to improve estimations of potential losses and ensure clients purchased the correct amount of coverage at the right price. This required a geocoding solution capable of processing high-resolution data for consistent comparisons across country lines, complete systemic control to understand catastrophe models, and visibility into clients' or insurers' books of business to demonstrate the benefits of accurate data.
解决方案
Willis Re incorporated Precisely Spectrum technology into their analyst workflows to undertake complex geographical risk analyses faster, more easily, and with greater accuracy. The technology's data quality tools and international geocoding capabilities provided full control over the geocoding process, offering a better understanding of risk model behavior and assumptions. The solution expanded geographic coverage and allowed cross-checking of client-supplied data, instilling greater confidence in the precision of resulting estimates. This enabled Willis Re to advise clients quickly and easily, especially when higher resolution data was available.
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