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Summary: Very good bool on the matter
Review: A book which is interesting because it provides you a classification of each data mining tools. Particularly for European people because it gives you names and descriptions of most of US tools in many CRM fields which deal with data.
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Summary: Timely book for current marketing concerns
Review: I came into this with a lot of questions about data mining and how I could apply mining in my marketing department. You couldn't call me an expert now but I do know enough to hold my own against some of the more technical people who work for me. In addition, I am now comfortable talking with the various vendors that are trying to sell me data mining software and services. As I didn't know anything about the subject before, this is a very positive step. I am very happy with this book and have recommended it to others in my local marketing executives organization.
Rating:
Summary: Timely book for current marketing concerns
Review: I came into this with a lot of questions about data mining and how I could apply mining in my marketing department. You couldn't call me an expert now but I do know enough to hold my own against some of the more technical people who work for me. In addition, I am now comfortable talking with the various vendors that are trying to sell me data mining software and services. As I didn't know anything about the subject before, this is a very positive step. I am very happy with this book and have recommended it to others in my local marketing executives organization.
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Summary: VERY HEPLFULL BOOK ABOUT CRM
Review: I have read couple of book about CRM, and this is the best book I have ever read about this matter, have a complete explanation of CRM solution and is helpfull to applicate this technique in our company.
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Summary: This book helped me understand data mining
Review: I have to admit, I am not deep technologist. My degree is an MBA, not an MS in statistics, so I was a bit hesitant when I ordered this book. Fortunately, Berson and his co-authors did a great job translating technology into relevant business issues. I now "get it," at least that's what some of my more techincally savvy colleagues say.I was looking for a good book that would help me understand what data mining could bring to our expanding e-commerce business channel. We already have several CRM software systems in place (marketing automation, call center, personalized web site) and this book helped me understand the analytic foundation that is built into the existing systems. One final thing. Although this book does not claim to be a reference for data mining algorithms, it does have a pair of well written "techniques" chapters. These two chapters go though a long list of algorithms (clustering, CART, CHAID, neural networks, and more) and provide a nice introduction. For me it was perfect.
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Summary: Good Data Mining Book for Beginners
Review: I have used this booh to help educated non-technical executives on the necessity and complexity of Data Mining and the relationship to the bottom line - profit. This book helps bridge the gap between the theory of Data Mining and the practical applications of Data Mining. It is helpful and recommended to people who have heard of Data Mining before and want to know more. This is not a book for those who are knowledgeable in Business Intelligence or Data Mining. This book does not talk about CRM applications. CRM applications are in a constant flux and material on them are better served by online publications.
Rating: 
Summary: Disappointing Attempt to Cash In on a Phrase
Review: I really like Kurt Thearling's writing, in general--he has written some very clear and practical papers on data mining. But I was badly disappointed by this book. I should have guessed from the complex title that the book is merely an attempt to cash in on the current interest in "customer relationship management" or CRM. In my opinion, CRM is not about data mining--see Dick Lee's book, The Customer Relationship Management Survival Guide, for a much more substantial treatment of CRM. In trying to be a book about CRM, this volume also does a poor job explaining data mining techniques--I strongly recommend Linoff and Berry's second book, Mastering Data Mining, instead. In short, I don't think that this is the book you want, no matter what you might be looking for.
Rating:
Summary: Disappointing Attempt to Cash In on a Phrase
Review: I really like Kurt Thearling's writing, in general--he has written some very clear and practical papers on data mining. But I was badly disappointed by this book. I should have guessed from the complex title that the book is merely an attempt to cash in on the current interest in "customer relationship management" or CRM. In my opinion, CRM is not about data mining--see Dick Lee's book, The Customer Relationship Management Survival Guide, for a much more substantial treatment of CRM. In trying to be a book about CRM, this volume also does a poor job explaining data mining techniques--I strongly recommend Linoff and Berry's second book, Mastering Data Mining, instead. In short, I don't think that this is the book you want, no matter what you might be looking for.
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Summary: REally useful book
Review: I really liked this book. It answered my question about data mining and helped me build our new campaign system. Chapter 12 was my favorite and it was very easy to understand. I am now looking for more books to help me build the customer web site.
Rating:
Summary: REally useful book
Review: I really liked this book. It answered my question about data mining and helped me build our new campaign system. Chapter 12 was my favorite and it was very easy to understand. I am now looking for more books to help me build the customer web site.
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