Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance
Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance
edited by Namid R. Nemati and Christopher D. Barko
Idea Group | ISBN 1591402220 | 2004 | CHM | 5.4 MB
edited by Namid R. Nemati and Christopher D. Barko
Idea Group | ISBN 1591402220 | 2004 | CHM | 5.4 MB
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.