Business intelligence : the savvy manager's guide, getting onboard with emerging IT /

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,...

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Bibliographic Details
Main Authors: Loshin, David, 1963- (Author)
Corporate Authors: Elsevier Science & Technology.
Published: Morgan Kaufmann Publishers,
Publisher Address: Amsterdam :
Publication Dates: 2003.
Literature type: eBook
Language: English
Series: The savvy manager's guides
Subjects:
Online Access: http://www.sciencedirect.com/science/book/9781558609167
Summary: 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 gui.
Carrier Form: 1 online resource (xx, 270 pages) : illustrations.
Bibliography: Includes bibliographical references and index.
ISBN: 9780080500546
0080500544
9781558609167
1558609164
Index Number: HD38
CLC: C931.6
Contents: Front Cover; Business Intelligence; Copyright Page; Contents; Foreword; Preface; Chapter 1. Business Intelligence and Information Exploitation; Chapter 2. The Value of Business Intelligence; Chapter 3. Planning for Success; Chapter 4. The Business Intelligence Environment; Chapter 5. Business Models and Information Flow; Chapter 6. Data Warehouses, Online Analytical Processing, and Metadata; Chapter 7. Business Rules; Chapter 8. Data Profiling; Chapter 9. Data Quality and Information Compliance; Chapter 10. Information Integration; Chapter 11. The Value of Parallelism.