Authors: Raisinghani
ISBN-13: 9781591402800, ISBN-10: 1591402808
Format: Paperback
Publisher: IGI Global
Date Published: February 2004
Edition: (Non-applicable)
Knowing more about competitorstheir profitability, their turnover rate, who their customers are, and why they are customerscan help a business make better decisions. This guide focuses on gaining such information through applications, platforms, tools, and technologiessuch as text mining, and data warehousingthat support the process of exploring data, data relationships, and trends. Written for MBA students, executives, consultants, upper- level undergraduates, and students in vocational/technical training institutes, the guide provides an overview of what business intelligence is, how it's being conducted, and what its major advantages and limitations are. The editor teaches MBA courses in information systems and e-business at the U. of Dallas. Annotation ©2004 Book News, Inc., Portland, OR
Foreword | ||
Preface | ||
Ch. I | Reducing Risk in Information Search Activities | 1 |
Ch. II | Intelligent Agents for Competitive Advantage: Requirements and Issues | 25 |
Ch. III | Data Mining and Knowledge Discovery | 35 |
Ch. IV | Enterprise Information Management | 48 |
Ch. V | An Intelligent Knowledge-Based Multi-Agent Architecture for Collaboration (IKMAC) in B2B e-Marketplaces | 76 |
Ch. VI | Text Mining in Business Intelligence | 98 |
Ch. VII | Bypassing Legacy Systems Obstacles: How One Company Built Its Intelligence to Identify and Collect Trade Allowances | 111 |
Ch. VIII | Expanding Business Intelligence Power with System Dynamics | 126 |
Ch. IX | Data Mining and Business Intelligence: Tools, Technologies, and Applications | 141 |
Ch. X | Management Factors for Strategic BI Success | 191 |
Ch. XI | Transforming Textual Patterns into Knowledge | 207 |
Ch. XII | Understanding Decision-Making in Data Warehousing and Related Decision Support Systems: An Explanatory Study of a Customer Relationship Management Application | 228 |
Ch. XIII | E-CRM Analytics: The Role of Data Integration | 251 |
Glossary | 270 | |
About the Authors | 277 | |
Index | 285 |