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Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance

Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance

Hamid Nemati, Christopher D. Barko
Copyright: © 2004 |Pages: 388
ISBN13: 9781591401346|ISBN10: 1591401348|EISBN13: 9781591401353
DOI: 10.4018/978-1-59140-134-6
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MLA

Nemati, Hamid, and Christopher D. Barko, editors. Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance. IGI Global, 2004. https://doi.org/10.4018/978-1-59140-134-6

APA

Nemati, H. & Barko, C. D. (Eds.). (2004). Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance. IGI Global. https://doi.org/10.4018/978-1-59140-134-6

Chicago

Nemati, Hamid, and Christopher D. Barko, eds. Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance. Hershey, PA: IGI Global, 2004. https://doi.org/10.4018/978-1-59140-134-6

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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.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Dedication
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Preface
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Acknowledgments
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Chapters
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Chapter 1
Strategic Implications of ODM
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Business Process Innovations Through ODM
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Chapter 3
ODM Analytics and Algorithms
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Chapter 4
Industrial ODM Applications
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Chapter 5
ODM Challenges and Opportunities
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Back Materials
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About the Authors
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Index
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