Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management (Datawarehousing)

Parr Rud, Olivia

ISBN 10: 0471385646 / ISBN 13: 9780471385646

Published by John Wiley & Sons, 2000

About this Item

Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Seller Inventory # wbs6091842745

Bibliographic Details

• Title: Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management (Datawarehousing)
• Publisher: John Wiley & Sons
• Publication Date: 2000
• Language: English
• ISBN 10: 0471385646
• ISBN 13: 9780471385646
• Binding: Soft cover
• Condition: Very Good
• Weight: 567 grams

About this title

Synopsis

Increase profits and reduce costs by utilizing this collection of models of the most commonly asked data mining questions In order to find new ways to improve customer sales and support, and as well as manage risk, business managers must be able to mine company databases. This book provides a step-by-step guide to creating and implementing models of the most commonly asked data mining questions. Readers will learn how to prepare data to mine, and develop accurate data mining questions. The author, who has over ten years of data mining experience, also provides actual tested models of specific data mining questions for marketing, sales, customer service and retention, and risk management. A CD-ROM, sold separately, provides these models for reader use.

About the Author

OLIVIA PARR RUD (Olivia@datasquare.com) is Executive Vice President of Data Square, LLC, a leading database marketing consulting firm. She has over 22 years' experience in data mining, predictive modeling, and segmentation for a variety of industries, including credit card, insurance, high tech, telecommunications, and catalog industries. She provides analysis and solutions for her clients in the areas of acquisition, retention, risk, and overall profitability for direct mail, telemarketing, broadcast marketing, and the Internet.