Data Mining: Building Competitive Advantage [Paperback]

Robert Groth (Author)

Book Description

Publication Date: November 7, 1999 | ISBN-10: 0130862711 | ISBN-13: 978-0130862716 | Edition: 2nd

8627A-4 "Finally, here's a book that explains in plain English what data mining is and how it's used to improve a company's bottom line ...Groth takes a very complex and vast field and makes it comprehensible." Miguel A. Castro, Ph.D., President, Dovetail Solutions Data mining business solutions-practical, up-to-date, and hands-on! With data mining, you can achieve competitive advantage from the data you've already paid to compile. Data Mining: Building Competitive Advantage shows you how. You won't just learn the theory and concepts of data mining; you'll discover how to apply them-hands-on, through real applications! Coverage includes: *Case studies in banking, finance, retail, healthcare, direct marketing, and telecommunications *The data mining process, start to finish *Today's newest, most successful approaches and algorithms *Data mining pitfalls-and how to avoid them *A close look at industry-leading tools from AngossaA A and RightPointaA A Whether you're a manager, marketer, consultant, analyst, or database professional, Robert Groth will help you master data mining-and deliver all the competitive advantage it promises.About the Website The accompanying website includes full trial editions of two of the world's leading desktop data mining tools, Angoss KnowledgeSEEKERA (R) and RightPoint DataCruncher.

Editorial Reviews

From the Inside Flap

Preface

In the two short years since the first version of this book was published, the data-mining industry has progressed at nothing short of light speed. Just look at a few of the more significant events:

SAS Institute releases Enterprise Miner.

SPSS buys ISL and their Clementine data-mining software.

Yahoo! buys HyperParallel, Inc.

Aspen Technologies buys NeuralWorks.

Oracle Corporation buys Thinking Machines.

Many data mining vendors, like DataMind, remake themselves to apply data mining to industry applications.

Version One of this book emphasized all the attention data mining has recently received, citing many sources such as an article in Bank Systems & Technology, January 1996, which stated: "Data mining is the most important application in financial services in 1996." In a 1996 commercial by IBM, played during the SuperBowl, fashion models discuss the use and advantages of data mining. Finally, there was a graph from the META Group projecting the data-mining market to be a $800 million dollar market by the year 2000.

Data mining is still gaining momentum and the players are rapidly changing. A second version of this book was needed to update discussions on current players and industry trends. For example, there is a major push in today's industry to change from a tools-oriented focus to a more solution-oriented focus.

This version of the book greatly expands on how data mining solves business problems. You the reader want to understand not only the current trends in the industry, but also what data mining is and how it can be applied to provide competitive advantage. META Group made the comment: "The majority of global 2000 organizations will find data-mining technologies to be critical to their business success by the year 2000." While this is interesting, there are specific reasons why this statement is true. The burning questions you should be asking are: Why are global 2000 organizations finding data mining to be "critical"? What are the benefits of data mining, both to me and my business? How do I make the most of data mining? The Purpose of This Book

This text, Data Mining: Building Competitive Advantage, resulted from the revelation that data mining is becoming mainstream and that there are few books about data mining devoted to the business professional. It provides an innovative, easy approach to learning data mining for business professionals, students, and consultants. The CD-ROM at the back of the book makes learning data mining a hands-on activity. You can try out different software packages available for data mining and learn how these tools are being used to solve industry problems.

This book focuses on how knowledge discovery is used in different industries, and discusses several of the data-mining software products available. Sample studies are provided for specific industries, including retail, banking, insurance, and healthcare.

This text takes a different approach to introducing data mining than the academic books currently on the market. The focus of this book is on industry applications, discussions of specific business problems, and a hands-on teaching style to demonstrate how tools can be used to attain business benefit.

This book provides answers to the following basic questions:

What is data mining?

How is data mining used in industry today?

Why use data mining?

Which vendors are in the data-mining market?

Where do you go to find information on data mining?

How do you data mine? Industry Focus

Data mining is an evolving field, with great variety in terminology and methodology. To gain a reasonable understanding of data mining, you should have a broad perspective on how it is being used within the industry today. Data-mining tools currently on the market are also discussed, as well as how to get more information on the vendors and Web sites available to you.

This book covers industry applications of data mining in various industries, including:

banking and finance

retail and marketing

telecommunications

healthcare

This book broadens the scope of what is relevant to learning data mining. Not only should you learn the methodology and terminology needed to use data mining, you should also learn specific examples of how to achieve fast results in the corporate environment.

You never hear as much as you should about industry solutions of data mining. Most companies are reluctant to discuss findings that lead to dramatic returns on investment, for competitive reasons. Industry applications making use of data-mining technology drive competitive advantage. People use data-mining technology to predict outcomes: which customers are likely to respond to specific marketing campaigns, claims that are fraudulent, or products customers are most likely to buy. The more success a company has in predicting such outcomes, the more tight-lipped they are prone to become.Hands-On Teaching Style

This book also provides a hands-on approach to learning data mining. By devoting three hours of your time, you can use the enclosed CD-ROM to familiarize yourself with data mining's major processes.

Once we cover the concepts of data mining, we'll go directly to exercises that show the ease of turning data into information. The CD-ROM contains demonstrations of two data-mining tools: Angoss® KnowledgeSeekerTM, and RightPoint® Software's DataCruncher.Audience

This book gives a general overview of data mining and is written for a broad-based audience. The book will be useful to:Business Professionals

Anyone in business who deals with large amounts of data should consider the data-mining tools and applications described in this book. Effort is made to provide industry examples as well as to make the use of data-mining products understandable.Database Administrators (DBAs)

Database administrators should be interested in this book, since it explains how end users can extract data from relational databases and data warehouses in order to mine data. Sample data structures are described for different industries. The data fields used in different types of data-mining studies are also discussed in detail.Marketing Analysts

Data mining is especially useful to marketing organizations, because it allows them to profile customers to a previously unavailable level. Some people refer to this as "one-to-one" marketing. In general, today's distributors of mass mailings use data-mining tools. In several years, data mining will be a mandatory strategic requirement of marketing organizations.Students

Students who desire a practical introduction to the basics of data mining and the current market can start with this book.Systems Analysts and Consultants

Consultants can benefit from the discussions of the vendors involved and by industry-specific examples.Scope of This Book

Data Mining: Building Competitive Advantage does not include detailed explanations of the algorithms used with data mining. If you want to learn more about the algorithms, I would suggest Advances in Knowledge Discovery and Data Mining, by Usama M. Fayyad, Gregory Piatestsky-Shapiro, Padhraic Smyth, and Ramasamy Uthurusam. This book, at over 550 pages, is the most comprehensive work available today on the technical approaches used in data mining.

This book is devoted to the business professional and targets an audience of professionals who do not necessarily have a statistics background and who want to learn about data-mining applications, or who wish to attempt data mining. Organization of This Book

Data Mining: Building Competitive Advantage is divided into three parts:Part 1 Starting Out

The first chapters introduce data mining, discuss the data-mining process, and cover vendors involved in this market.

Chapter 1, "Introduction to Data Mining," introduces basic concepts of data mining and explains why data mining is important.

Chapter 2, "Getting Started With Data Mining," discusses several of the approaches taken in data mining and their potential benefits.

Chapter 3, "The Data-Mining Process," covers the process of data mining and introduces different types of studies as well as data-preparation issues.

Chapter 4, "Data-Mining Algorithms," discusses the types of algorithms and technologies being used today.

Chapter 5, "The Data-Mining Marketplace," introduces vendors in the data-mining market today, and includes discussion of applications such as SAS Enterprise Miner and IBM's Intelligent Miner.Part 2 A Rapid Tutorial

Chapters 6 and 7 introduce two leading data-mining software products.

Chapter 6, "A Look at Angoss: KnowledgeSEEKER," covers the leading, commercial data-mining software product, which is based on a decision-tree model and is focused on end users. A business example for the healthcare industry is discussed.

Chapter 7, "A Look at RightPoint DataCruncher," covers an innovative commercial data-mining software product that is focused on marketing professionals. A business example for the telecommunications industry is discussed.Part 3 Industry Focus

Chapters 8 and 9 focus on specific industry uses of data mining. Examples for each study performed are provided, with tips on how these can be performed on corporate database systems.

Chapter 8, "Industry Applications of Data Mining," looks at types of data-mining studies in banking and finance, retail, healthcare, and the telecommunications industry. Examples of companies performing data mining are provided.

Chapter 9, "Enabling Data Mining Through Data Warehouses," looks at how data warehouses provide a methodology for helping perform data-mining studies. Four data-warehouse industry examples are provided to discuss the type of data that would be integrated and introduce how some data-mining studies could be performed using these data warehouses.CD-ROM Installation Requirements

The minimum system requirements for installing the CD-ROM included in this book are discussed in Appendix B. Each of the data-mining software products included in the CD-ROM have their own requirements.

The installed software enables you to run the CD-ROM-based tutorial included in this book. Additional files have been added specifically for this book beyond those provided by Angoss Software and RightPoint Software.

From the Back Cover

8627A-4

"Finally, here's a book that explains in plain English what data mining is and how it's used to improve a company's bottom line . . . Groth takes a very complex and vast field and makes it comprehensible." Miguel A. Castro, Ph.D., President, Dovetail Solutions

Data mining business solutions-practical, up-to-date, and hands-on!

With data mining, you can achieve competitive advantage from the data you've already paid to compile. Data Mining: Building Competitive Advantage shows you how. You won't just learn the theory and concepts of data mining; you'll discover how to apply them-hands-on, through real applications!

Coverage includes:

• Case studies in banking, finance, retail, healthcare, direct marketing, and telecommunications
• The data mining process, start to finish
• Today's newest, most successful approaches and algorithms
• Data mining pitfalls-and how to avoid them
• A close look at industry-leading tools from Angoss™ and RightPoint™

Whether you're a manager, marketer, consultant, analyst, or database professional, Robert Groth will help you master data mining-and deliver all the competitive advantage it promises.

About the Website

The accompanying website includes full trial editions of two of the world's leading desktop data mining tools, Angoss KnowledgeSEEKER® and RightPoint DataCruncher.

See all Editorial Reviews

Product Details

• Paperback: 325 pages
• Publisher: Prentice Hall; 2nd edition (November 7, 1999)
• Language: English
• ISBN-10: 0130862711
• ISBN-13: 978-0130862716
• Product Dimensions: 9.4 x 6.9 x 0.7 inches
• Shipping Weight: 1 pounds (View shipping rates and policies)
• Average Customer Review: 4.5 out of 5 stars  See all reviews (4 customer reviews)
• Amazon Best Sellers Rank: #1,867,932 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

11 of 11 people found the following review helpful:

5.0 out of 5 stars Beyond sales pitch, April 22, 2000

By 

Paulo C. Rios Jr. (Europe) - See all my reviews
(VINE VOICE)    (REAL NAME)   

This review is from: Data Mining: Building Competitive Advantage (Paperback)

This book doesn't have the depth of Ian Witten's "Data Mining", yet it is an excellent book on its own. Concrete examples, hands-on training with included software, a primer on Data Warehousing and clear explanations makes it unique among so many other data mining books.

6 of 6 people found the following review helpful:

3.0 out of 5 stars For the beginner, September 28, 2000

By A Customer

This review is from: Data Mining: Building Competitive Advantage (Paperback)

Pretty basic stuff. If you do not know anything about databases and have never conducted any analysis buy this book. Otherwise do not bother. I was a little disappointed that it did not provide more detail on many of the algorithms - rather it just pointed out different things that data mining can do (though very well explained). While it providing a nice overview, it did not really strike me as anything groundshaking. It does, however, have has a nice listing of vendors. I would refer to the Berry and Linoff book "Mastering Data Mining" for a slightly more thorough treatment.

5 of 5 people found the following review helpful:

5.0 out of 5 stars Great book for business students, October 16, 2000

By 

Alex Karepina, Teaching Assistant (Tulane University, New Orleans, LA) - See all my reviews

This review is from: Data Mining: Building Competitive Advantage (Paperback)

If you are a business student willing to understand the magic behind the mysterious words like Data Mining, Data Warehousing and Neural Networks, this book is for you. It is practical, and it explains how business can benefit from knowledge it extracts from data. Data sets for the book examples are available on the CD, so a reader can tangibly apply the methods described and get a valuable hands-on experience of data analysis.