Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications
Author: Larissa T. Moss, Shaku Atre
List Price: $49.99
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ISBN: 0201784203
Publisher: Addison-Wesley Pub Co (25 February, 2003)
Sales Rank: 12,559
Average Customer Rating: 4.83 out of 5
Customer Reviews
Rating: 4 out of 5
Very action oriented
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.
Rating: 5 out of 5
A very practical and comprehensive guide!
This book is the perfect blend of project management techniques, application of the software development lifecycle framework, and decision support / business intelligence projects. As a project manager for data mart and decision support projects, I am using this book as a reference for making sure all the steps are covered in these types of projects. All areas are at least touched upon if not covered in greater detail. The authors do an excellent job in explaining many of the BI concepts, identifying steps to completion, and raising questions to consider in tailoring the success of these projects to your organization's circumstances. The deliverables and risks presented for each step fits nicely with the Project Management Institute's PMBOK framework and the tips at the back of the book are incredibly helpful.
Rating: 5 out of 5
A Must for Every BI/DW Professional
It is refreshing to read a book that presents in-depth techniques for developing a BI application from cradle to grave in a continuous evolutionary process. Various matrices and WBS samples in Part II of the book serve as a quick reference for iterative planning and delivering of decision-support systems.The authors have done a phenomenal job in integrating business, technical,and management aspects of a BI and decision-support system to present an exhaustive set of guidelines.After working with numerous clients and having read Inmon's Building the Data Warehouse, Kimball's The Data Warehouse Lifecycle Toolkit as well as various BI white papers, I know that data ETL and data warehouses are a major part of any BI strategy. However, after reviewing the summary of over 20 BI related books, I found that the primary focus of many BI books is normally limited to data presentation and analytical layers only.This book is an exception .
I would recommend this book to expert as well as novice DW/BI professionals alike, who may be business users, data analysts, architects, project managers, statisticians,or executive stakeholders.
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