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Organizational data mining leveraging enterprise data resources for optimal performance /

Mountains of business data are piling up in organizations every day. These organizations collect data from multiple sources, both internal and external. These sources include legacy systems, customer relationship management and enterprise resource planning applications, online and e-commerce systems...

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Bibliographic Details
Main Author: Nemati, Hamid R., 1958-
Corporate Author: IGI Global.
Other Authors: Barko, Christopher D., 1968-
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2004.
Subjects:
Knowledge management.
Data mining.
Business > Data processing.
Online Access:View fulltext via EzAccess
Table of Contents:
  • Section I. Strategic implications of ODM
  • 1. Organizational Data Mining (ODM): An Introduction
  • 2. Multinational Corporate Sustainability: A Content Analysis Approach
  • 3. A Porter Framework for Understanding the Strategic Potential of Data Mining for the Australian Banking Industry
  • 4. The Role of Data Mining in Organizational Cognition
  • 5. Privacy Implications of Organizational Data Mining
  • Section II. Business process innovations through ODM
  • 6. Knowledge Exchange in Organizations is a Potential, Not a Given: Methodologies for Assessment and Management of a Knowledge-Sharing Culture
  • 7. Organic Knowledge Management for Web-Based Customer Service
  • 8. A Data Mining Approach to Formulating a Successful Purchasing Negotiation Strategy
  • 9. Mining Meaning: Extracting Value from Virtual Discussions
  • Section III. ODM Analytics and algorithms
  • 10. An Intelligent Support System Integrating Data Mining and Online Analytical Processing
  • 11. Knowledge Mining in DSS Model Analysis
  • 12. Empowering Modern Managers: Towards an Agent-Based Decision Support System
  • 13. Mining Message Board Content on the World Wide Web for Organizational Information
  • Section IV. Industrial ODM applications
  • 14. Data Warehousing: The 3M Experience
  • 15. Data Mining in Franchise Organizations
  • 16. The Use of Fuzzy Logic and Expert Reasoning for Knowledge Management and Discovery of Financial Reporting Fraud
  • 17. Gaining Strategic Advantage Through Bibliomining: Data Mining for Management Decisions in Corporate, Special, Digital, and Traditional Libraries
  • 18. Translating Advances in Data Mining to Business Operations: The Art of Data Mining in Retailing
  • Section V. ODM Challenges and opportunities
  • 19. Impediments to Exploratory Data Mining Success
  • 20. Towards Constructionist Organizational Data Mining (ODM): Changing the Focus from Technology to Social Construction of Knowledge
  • 21. E-Commerce and Data Mining: Integration Issues and Challenges
  • 22. A Framework for Organizational Data Analysis and Organizational Data Mining
  • About the Authors
  • Index.

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