One of the key components of an insurance company’s success is its ability to analyze risks, which leads to the development of policy rates that enable them to maintain a profit while keeping insurance affordable. Like many enterprises, this insurance company’s data was generated, collected and processed separately on multiple platforms. This created data silos between mainframe and open systems, making the complex task of risk analysis even more challenging. In order to increase their competitive edge and provide better claim experiences, they required a solution that allowed them to integrate data from all computing platforms to better understand customer behavior and meet customer expectations.