Business Intelligence describes the basic architectural components of a business intelligence environment, ranging from traditional topics such as business process modeling, data modeling, and more modern topics such as business rule systems, data profiling, information compliance and data quality, data warehousing, and data mining. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. The book contains a quick reference guide for business intelligence terminology. Business Intelligence is part of Morgan Kaufmann's Savvy Manager's Guide series.
* Provides clear explanations without technical jargon, followed by in-depth descriptions. * Articulates the business value of new technology, while providing relevant introductory technical background. * Contains a handy quick-reference to technologies and terminologies. * Guides managers through developing, administering, or simply understanding business intelligence technology. * Bridges the business-technical gap. * Is Web enhanced. Companion sites to the book and series provide value-added information, links, discussions, and more.
first complete read through after what must be 4-5 tries. A lot of the reason is the difficulty in slogging through the book's technical language. Gaining on the surrounding context of Business Intelligence helps decipher the main message of the book. A good primer, nothing less nothing more. Touches on key basic considerations about sponsorship, IT-Business integration, a lot of technical modeling and overview. Best suited for someone from the Business wanting to catch a glimpse of the behind the scenes of IT. Even then, the book lacks in practical grounding. It being published in 2001 does not help it stay current.