Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal PerformanceHamid R. Nemati, Christopher D. Barko Idea Group Inc (IGI), 1 sty 2004 - 371 Successfully competing in the new global economy requires immediate decision capability. This immediate decision capability requires quick analysis of both timely and relevant data. To support this analysis, organizations are piling up mountains of business data in their databases every day. Terabyte-sized (1,000 megabytes) databases are commonplace in organizations today, and this enormous growth will make petabyte-sized databases (1,000 terabytes) a reality within the next few years (Whiting, 2002). Those organizations making swift, fact-based decisions by optimally leveraging their data resources will outperform those organizations that do not. A technology that facilitates this process of optimal decision-making is known as Organizational Data Mining (ODM). Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance demonstrates how organizations can leverage ODM for enhanced competitiveness and optimal performance. |
Spis treści
A Content Analysis Approach | 9 |
A Porter Framework for Understanding the Strategic Potential of Data | 25 |
Privacy Implications of Organizational Data Mining | 61 |
Organic Knowledge Management for WebBased Customer Service | 92 |
A Data Mining Approach to Formulating a Successful Purchasing | 109 |
Extracting Value from Virtual Discussions | 125 |
ODM ANALYTICS AND ALGORITHMS | 140 |
Knowledge Mining in DSS Model Analysis | 157 |
INDUSTRIAL ODM APPLICATIONS | 201 |
Data Mining in Franchise Organization | 217 |
The Use of Fuzzy Logic and Expert Reasoning for Knowledge | 230 |
Data Mining | 247 |
ODM CHALLENGES AND OPPORTUNITIES | 279 |
Integration Issues and Challenges | 321 |
A Framework for Organizational Data Analysis and Organizational | 334 |
About the Authors | 357 |
Towards an AgentBased Decision | 170 |
Mining Message Board Content on the World Wide Web | 188 |
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Popularne fragmenty
Strona 355 - Fayyad, G. Piatetsky-Shapiro, P. Smyth, & R. Uthurusamy (Eds.), Advances in knowledge discovery and data mining (pp.