There are a lot of books on business intelligence and the web, some of them are better than others. Typically the focus of these books is on click stream analysis and focus on the CRM aspects of business intelligence over the web. While these topics are discussed, there is more to this book. This book is a bit different and is interesting for both the novice and the experienced system implementer. The book gives a history of Internet, both from a technical and economic perspective. It even deals with how the Internet works. Answering such questions as why an IP address is an unreliable way of identifying customers over the net. The book looks at both collecting data for business intelligence applications as well as how to deploy these applications over the net using Internet technology. It discusses some of the aspects of the Java language that makes it well suited for develop BI applications. It also presents various Java API's developed for business intelligence. I really enjoyed reading this book. At times reading a heavy technology book can be a bit dry. This book is not like that. At times he will introduce topics with discussions that seem off the topic, but in the`end lead back to main point. In fact, these diversions actually helped my understanding of the subject. While this is certainly a serious book, there were times I laughed out loud. This is a good book for understanding business intelligence over the Internet. If you are interested in this subject, by all means you should read this book.
If you are involved in E-Business Intelligence, then this is a book worth reading. I enjoyed Kimball's "Building the Data Webhouse" and Mena's "Mining your web site", but this book takes a different perspective on the subject. Each of these books provide their own view on how the Internet had affected business intelligence. There is a lot of detail in this book that would make it of interest to an implementer. It discusses many of the technologies used to build an Internet enabled application, such as XML, CWMI and Java. For example, in the section on Java, the author discusses the Java beans, the OLAP API and the data mining API. The book even provides some discussion on how you can use an application server in a business intelligence system. I would definitely recommend this to any IT professional interested in the subject.