Click here to learn about the new Predictive Modeling Course!
Discover the Data Mining Recipe
to Increase Profits and Reduce Costs
in Today's Business World.

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| "Finally, a book that
thoroughly explains predictive and descriptive
modeling in simple language. It discusses
the importance of defining the objective
as well as using quality data. Parr-Rud
uses real world examples to detail methods
for building response, risk, churn, and
lifetime value models. She even includes
several validation techniques that are
not available in most packaged solutions.
A very accessible book." - Reader
Review |
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Now available, this insightful book shows you how to create
and implement models of the most commonly asked data mining
questions for marketing, sales, risk analysis, and customer
relationship management and support.
In addition to real world experience and understanding, you'll
get time-tested proven modeling techniques that address specific
questions to help you find ingenious new ways to increase
profit and cut costs.
Starting from the basics, you'll learn how to plan the menu
and choose the right ingredients - or ask the right questions
and get data ready to mine - before you get down to the business
of creating the meal.
You'll find numerous case studies that detail available data
sources for developing targeting models, then learn to process,
evaluate, and implement them through an extensive case study
of a lifetime value model for a life insurance direct-mail
campaign.
This step-by-step guide will help you to:
- Mine your company's data or find outside sources for your project
- Select and transform the variables when preparing data for modeling
- Test and validate response, activation, and profitability models
- Perform customer analysis through profiling and segmentation
- Build models to predict response, risk, churn, and lifetime value
- Use models for Web-based marketing and customer support
Click
here to buy it through Amazon
About the Author: C. Olivia Parr
Rud has over 25 years in the database marketing industry with
a 15-year emphasis in data mining, modeling and segmentation for
the credit card, insurance, telecommunications, resort, retail
and catalog industries.
As an analyst, she challenged the traditional ways and invented
new ways of applying statistics in marketing. As a manager, she
mentored and coached analysts to balance their highly technical
skills with effective communication and creative thinking skills.
As a consultant, Olivia uses a blend of her leadership skills,
analytic training and creative talents to provide analysis and
develop solutions for her clients in the areas of acquisition,
retention, risk and overall profitability.
Prior to forming OLIVIAGroup, Olivia held senior management positions
at DataSquare, DirectCom, Fleet Credit Card Bank, Advanta Credit
Card Bank, National Liberty Insurance and Providian Bancorp. In
these roles, Olivia helped to integrate analytic capabilities
into every area of the business including campaign management,
customer relationship management, risk, pricing, and customer
service.
Olivia has a BA in Mathematics from Gettysburg College and an
MS in Decision and Information Systems, with an concentration
in statistics, from Arizona State University. She is a member
of Phi Kappa Phi National Honor Society and Alpha Delta Iota National
Honor Society, Decision Sciences, Arizona State University, 1991.
To inquire about hiring Olivia to speak or consult, please call
(215) 242-2260.
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Data Mining Cookbook
by Olivia Parr Rud
Published by John Wiley & Sons
ISBN 0-471-38564-6
© 2003 by Olivia Parr Rud and
The Olivia Group
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