Rating: 
Summary: Great for producers
Review: I've read many books on the subject and this one is the first that is easy to understand. It walks you through the all definitions, background information, reasoning and software needed. You learn the general principals and can translate them to any business. I also bought 'Mining the Web' which, in my opinion, was too focused on ecommerce. If you only buy 1 book - this should be it.
Rating: 
Summary: Broad coverage of data mining Issues
Review: In addition to CRM, this book presents extensive coverage of the basics of data mining and data warehousing. I found the material accurate and easy to read. There is a pretty standard review of the different data mining analysis techniques, from regression through neural networks and finally rule-based systems.Since I am familiar with these topics, I found it difficult to wade through all of this to get to the CRM material. It would be nice if the publishers and authors would consider extracting the CRM material and creating a shorter, more focused form. Just one quibble. At one point the authors make reference to 'altering customer behavior'. One objective of CRM is to match customer's behavior with appropriate offerings. One strategic outcome of CRM analysis is to change a businesses operations to match a customer's needs. The book seem most focused on developing the correct analysis of customer data in order to achieve CRM objective. There are discussion of business cases such as churn and campaign analysis. Despite a section on architecture, the text is light on how the analysis affects operation systems. Overall, I reccomend the book and I am still studying it.
Rating:
Summary: All of Data Mining for CRM
Review: The Authors provides comparison and contrast to different approaches and tools-neural networks, decision tree etc. - available for today's data mining. Because they write in a plain English style, i understood what they just read. Authors are expert in data mining field and they are a best-selling author of Data Warehousing, Data Mining and OLAP. I recommend this book to system integrators, designers of data warehouse and data mart system.
Rating:
Summary: Very useful and informative.
Review: This book assumes sufficient knowledge of data warehouse and CRM. This book deals purely with Data Mining - one of the branches of Business Intelligence. A very good book that includes chapters on business value and business case for an enterprise wide Data Mining solution. Certainly is helpful to me in my goals to pursue data mining solutions for clients. Good understanding of a "profitable customer" is a prerequisite for an enterprise wide data mining solution - which is emphasized in this book neatly. Can be used to educate marketing/sales/operations executives about data mining concepts and principles. Unless there's an executive buy-in, the concept will not sell in an organization. Business values and business case chapters will help one is selling this concept to higher-ups and help associates understand data mining in theory. My theory is that, data mining implementations would help organizations coming out of this economic mess, in reducing marketing/sales/operating costs based on understanding the customer profitability and customer segmentation. Unless you spend on your customers, customer loyality is not assured. Why spend a lot on all customers when not all are created equal? This is the book that will justify such questions and pave the way for a profitable business.
Rating: 
Summary: Many interesting subjects, but too many trivialities
Review: When I happen to read books like that I wonder whether my time has gone (er... from a cultural point of view, of course). You can find references to interesting subjects in the publication, but just references, and they are shown in a so elementary way that it makes the book suitable for absolute beginners, in data mining, data analysis, and computer science (i.e. first-job employees or financial executives). Walking along the sharp boundary between generality and triviality, the leading way slips many times down the latter side. A book of almost five hundred pages could have afforded to examine more deeply the relating subjects, avoiding repetitions (and sometimes to cut and paste) and the inflated style typical of slide shows. In my experience, this text is close to a lost opportunity, because the good general structure (a path from CRM basics to the most known tools), which I appreciated, has not been supported by a sufficient strength of linked subjects, leaving the book as similar as the skeleton structure of a not completed building. The book could be worth reading, but a reader facing five hundred pages would deserve more.
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