Rating: 
Summary: Very useful
Review: This is an excellent book and, more importantly, it's very useful. It's loaded with specifics and checklists on what to do and how to do it (it also tells you what not to do). It lays out the pitfalls and tells you how to avoid them. The stages and steps outlined in the book are very specific and the authors, with their wealth of experience, tell you how to implement a successful data warehouse. The work breakdown structure (the tasks you need to implement the data warehouse), the deliverables matrix, and entry and exit criteria for each step are very detailed and alone are worth the price of the book.The book will give those responsible for a data warehouse the information they need to establish best practices within their own organization and will give these folks the ammunition and support to ask for the necessary resources to implement a data warehouse.
Rating: 
Summary: Very action oriented
Review: Very action oriented. The prose is concise and to the point. A key feature is that at the start of each chapter is a ticklist of action items to do or at least be aware of, for that chapter's topic. This may have value to you, from a management viewpoint. Also similarly useful are the extensive tables at the back of the book, that complement the ticklists. For me, the most relevant sections were those describing metadata and how this is commonly defined and used by people in the data mining/business intelligence community. I enjoyed the description of a metadata repository/silo as a navigation tool. The book is readily accessible to a nontechnical manager. There is little mathematical jargon, and there are clear explanations of common data mining techniques. Enough so that you can converse intelligently with personnel in that field. A strength of the book is that is lets you understand and direct a technical team, in a top-down fashion, driven by business imperatives, rather than by technical capabilities.
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