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ISO to Provide Insurers Better Analytic Solutions with SAS

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ISO to Provide Insurers Better Analytic Solutions with SAS

July 14, 2008
By Anil Sharma
TMCnet Contributor
ISO has selected software from SAS (News - Alert)  to help build more accurate analytic models for the property/casualty insurance industry.  

ISO will deploy the SAS GRID computing infrastructure for diagonal scalability to support future growth. ISO will draw on grid technology to extend and increase the life span of its investment in hardware resources. This innovative SAS solution also provides ISO analysts with better documentation, enhanced performance, and collaboration to work more quickly and efficiently.

The powerful, flexible, and comprehensive grid-enabled SAS Enterprise Intelligence Platform will help ISO build robust analytic models more quickly, and with increased computing bandwidth for simultaneous users.

SAS visualization capabilities will significantly reduce data exploration timelines, while its built-in model assessment and comparison capabilities require no separate coding. ISO also anticipates significant risk mitigation in model maintenance and archiving, and more efficient data warehousing.

Thanks to the advanced analytic techniques and data management skills, ISO clients are expected to assess risk in the property/casualty insurance industry with leading-edge predictive modeling.

SAS is major player in business intelligence and analytical software and services. Customers at more than 44,000 sites use SAS software to improve performance through insight from data, resulting in faster, more accurate business decisions; more profitable relationships with customers and suppliers; compliance with governmental regulations; research breakthroughs; and better products and processes.

 “ISO has a vast and unprecedented amount of insurance data and a large staff of analysts,” said Marty Ellingsworth, president of the ISO Innovative Analytics unit, in a statement.

“Our team needs the best tools to effectively mine that data, visually explore new features, and track models through production for feedback and improvement. We found SAS to be the best solution to satisfy our needs.”

Anil Sharma is a contributing editor for TMCnet. To see more of his articles, please visit his columnist page.

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