KDnuggets 99:20, item 8, Courses:

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Date: Fri, 24 Sep 1999 14:44:44 -0400
From: Phil Frank frankp@wharton.upenn.edu
Subject: Wharton: "Data Mining: Leveraging Knowledge for Profitability"

The Wharton School's
"Data Mining: Leveraging Knowledge for Profitability" Program
December 12-15, 1999

Website: http://www.wharton.upenn.edu/execed/eecat/dm.html

You know that extracting information from data is no longer just a
competitive advantage; it has become a strategic imperative.  You're
convinced that your organization must implement a knowledge-discovery
process.  You know you need strategic direction and buy-in from
management to succeed.  You're eager to begin but unsure about whom to
involve and where to start.  Wharton's Data Mining: Leveraging Knowledge
for Profitability program can help.

Everyone is talking about data mining but very few organizations are
doing it well.  One recent study, for example, found that only about a
third of companies use data mining resources strategically.  This program
takes a realistic view of the strengths and limitations of data mining
and the importance of a strategic focus.

Faculty will take participants through the steps in the knowledge
discovery process, examining issues related to collecting the right data
for the problem and distinguishing among the types of models best used
for specific problems. The program will also outline the differences
among data mining tools and techniques.  Discussions during the program
are grounded in real-life cases, case presentations by participants, and
the perspectives of invited industry guests.

Key Takeaways:
-  An understanding of the strategic business applications for data
   mining
-  A framework for assessing the costs and benefits of implementing a
   knowledge discovery process
-  An understanding of the partnership needed for profitable
   implementation
-  A process for planning and initiating a data mining effort in your
   organization
-  A realistic view of what data mining can and can not do
-  An overview of the latest data mining technology
-  An ability to work with data mining professionals to derive knowledge
   from data

Selected Session Topics include
-  The knowledge discovery process
-  Strengths and limitations of data mining
-  Implementing data mining solutions
-  Improving bottom-line profitability with data mining

This program is intended for senior and middle managers with
responsibility for marketing, finance, new business development, customer
relationship management, credit risk, e-commerce, decision support and
information systems.  It will be held December 12-15, 1999 at the Wharton
School's executive learning facility, the Steinberg Conference Center, on
the University of Pennsylvania campus in Philadelphia.  The registration
fee of $4,950 includes all lodging and meals.

For more information, please contact a Course Consultant at:

Aresty Institute of Executive Education
The Wharton School of the University of Pennsylvania
255 S. 38th Street, Philadelphia, PA  19104-6359
800-255-3932 ext. 2440 (U.S. & Canada)
215-898-1776 ext. 2440 (Worldwide)
215-386-4304 (fax)
http://wh-execed.wharton.upenn.edu/2440.cfm

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