Data Mining Explained: A Manager's Guide to Customer-Centric Business Intelligence
by Rhonda Delmater, Monte Hancock
The first book for managers and technical professionals that teaches data mining in an accessible way and that explains how data mining drives next-generation customer relationship strategies.
Data Mining Explained helps technically-proficient managers and IT professionals use powerful data mining technologies to solve important business challenges, most…
See more details below
Overview
The first book for managers and technical professionals that teaches data mining in an accessible way and that explains how data mining drives next-generation customer relationship strategies.
Data Mining Explained helps technically-proficient managers and IT professionals use powerful data mining technologies to solve important business challenges, most importantly to identify and better serve customer needs. Written by data mining experts, Data Mining Explained describes how companies in general and those in key vertical markets can design and build effective technical marketing and sales strategies and operations using data mining.
Data Mining Explained makes vital and increasingly mainstream concepts and technologies accessible to a wide range of readers new to the topic. Readers will learn how data mining can help them find relationships and patterns, such as customer buying habits, within the huge stores of data they gather every day. Data Mining Explained helps readers understand how data mining is defining next-generation e-commerce and customer relationship management (CRM) and can revolutionize how organizations engage their customers.
Teaches an increasingly mainstream technology to managers and technical professionals
Explains how data mining unites customer relationship management (CRM) and business intelligence
Describes how to develop a data mining strategy
Product Details
- ISBN-13:
- 9781555582319
- Publisher:
- Elsevier Science & Technology Books
- Publication date:
- 12/27/2000
- Pages:
- 416
- Product dimensions:
- 7.98(w) x 7.56(h) x 0.92(d)
Table of Contents
Why Data Mining is Important: What is Customer-Centric Data Mining?; How Data Mining Can Enhance Your Services and Products; Data Mining Can Solve Your Most Difficult Problems; The Data Mining Process; Pillars of the Data Mining Framework: The Information Technology of Business Intelligence; The Data in Data Mining; The Mathematics of Data Mining; Data Mining Techniques: Knowledge Discovery; Data Mining Techniques: More Knowledge Discovery; Data Mining Techniques: Predictive Models; Data Mining Management: Common Reasons Data Mining Projects Fail; Overcoming Obstacles; Successful Data Mining Project Management; Data Mining in Practice--Case Studies: Data Mining in: Customer Service, Retail, Insurance, Financial Services, Health Care and Medicine, Telecommunications, Transportation and Logistics, Energy, and Government; Glossary; Bibliography; Appendixes: Vendor Information; "STAT 101"; Techniques Listed by Methodology PhaseCustomer Reviews
Average Review: