New Whitepaper: Insurance Underwriting + Big Data Analytics

Business leaders are constantly looking at how they can use the underwriting process to improve profits.

What if insurance underwriters or the underwriting processes could look into the past at a more detailed level and predict exactly how a risk would perform in the future? What If underwriters were provided with a solution that would provide meaningful insight into customers’ risk characteristics? Data analytics, data mining and predictive modeling can provide this ability to enhance business processes and improve profits for Insurance companies.

Our experienced technical team recently pulled together a white paper on this topic.  These guys have worked with one of the largest personal property insurers in the country for several years, and have loads of experience in implementing cost-saving solutions for this industry. In this paper, they discuss auto and property/casualty insurance underwriting, how big data analytics can influence an increase in sales and revenues for companies and introduce a high level Microsoft based solution implementation that can solve this business problem.

Download your copy today and share with you team!

About AISblog

Since 1982, AIS has provided software and systems engineering services to enterprise companies and the U.S. government. We invest heavily in technology innovations that bring transformative change to our customers and trusted partners. AIS believes in being there for the long haul to advise on IT projects across your entire organization, to work with your teams as partners with the same goal: total project success, and not total hours billed.