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Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks »

Book cover image of Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks by Raisinghani

Authors: Raisinghani
ISBN-13: 9781591402800, ISBN-10: 1591402808
Format: Paperback
Publisher: IGI Global
Date Published: February 2004
Edition: (Non-applicable)

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Author Biography: Raisinghani

Book Synopsis

Knowing more about competitors—their profitability, their turnover rate, who their customers are, and why they are customers—can help a business make better decisions. This guide focuses on gaining such information through applications, platforms, tools, and technologies—such as text mining, and data warehousing—that 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

Table of Contents

Foreword
Preface
Ch. IReducing Risk in Information Search Activities1
Ch. IIIntelligent Agents for Competitive Advantage: Requirements and Issues25
Ch. IIIData Mining and Knowledge Discovery35
Ch. IVEnterprise Information Management48
Ch. VAn Intelligent Knowledge-Based Multi-Agent Architecture for Collaboration (IKMAC) in B2B e-Marketplaces76
Ch. VIText Mining in Business Intelligence98
Ch. VIIBypassing Legacy Systems Obstacles: How One Company Built Its Intelligence to Identify and Collect Trade Allowances111
Ch. VIIIExpanding Business Intelligence Power with System Dynamics126
Ch. IXData Mining and Business Intelligence: Tools, Technologies, and Applications141
Ch. XManagement Factors for Strategic BI Success191
Ch. XITransforming Textual Patterns into Knowledge207
Ch. XIIUnderstanding Decision-Making in Data Warehousing and Related Decision Support Systems: An Explanatory Study of a Customer Relationship Management Application228
Ch. XIIIE-CRM Analytics: The Role of Data Integration251
Glossary270
About the Authors277
Index285

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