KDnuggets 99:20, item 5, Publications:

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Date: Wed, 22 Sep 1999 16:01:44 -0400
From: Knowledge Users knowledgeusers@angoss.com
Subject: Angoss September 1999 KnowledgeNet Report

The September KnowledgeNet Report is now posted.

In past issues we have explored best practises in financial
services and database marketing, as well as data mining
applications in the website analysis area.

In this issue we focus on a specific industry (insurance) and
examine a core business process (underwriting) that has
generally been a "loser" for insurers for years.

We review industry trends, explore the nature of the
underwriting process and outline the role of the underwriter.
We then discuss how data mining technology can assist
insurers in adapting and improving their underwriting business
processes to improve their underwriting performance, lower
overall loss ratios, and become more sophisticated in designing
and targeting insurance products to address specific opportunities,
while maintaining effective blending of risk.

While the discussion is specifically about the insurance industry,
the underlying concepts apply to various other industries.  The
report will take about 20-30 minutes to read.  We hope it stimulates
some interest and dialogue within your companies -- regardless of
what industry you are in -- about how data mining can be applied to
improve your core business decision-making processes.

To view the report, go to
http://www.angoss.com/services/knowledgenet/report0999.html.

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