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SmartData Collective > Big Data > Data Mining > Predictive modeling can be used to reduce risk exposure by using…
Business IntelligenceData MiningData WarehousingPredictive Analytics

Predictive modeling can be used to reduce risk exposure by using…

JackMason
JackMason
2 Min Read
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Predictive modeling can be used to reduce risk exposure by using customer information to anticipate likely behavior, such as filing insurance claims or defaulting on a loan. Predictive modeling can also be used as a tool to enhance customer relationships. In one recent case, a large U.S. financial services institution sought to explore the connections between customer loyalty and the products and channels used, and how they contributed to the bank’s financial performance.

IBM Research | On Demand Innovation Services | Risk Management

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Predictive modeling can be used to reduce risk exposure by using customer information to anticipate likely behavior, such as filing insurance claims or defaulting on a loan. Predictive modeling can also be used as a tool to enhance customer relationships. In one recent case, a large U.S. financial services institution sought to explore the connections between customer loyalty and the products and channels used, and how they contributed to the bank’s financial performance.

IBM Research | On Demand Innovation Services | Risk Management

The Smarter Planet tumblelog is an outgrowth of IBM’s strategic initiative to help a world of smart systems emerge.

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To see just the posts related to the “new intelligence” — advanced business intelligence, predictive analytics, decision support and large scale data managment — try this link:
http://smarterplanet.tumblr.com/tagged/new_intelligence

 See this primer on Smarter Planet

 

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