Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance

✍ Scribed by Hamid R. Nemati, Christopher D. Barko, Hamid R. Nemati, Christopher D. Barko

• Publisher: IGI Global
• Year: 2003
• Tongue: English
• Leaves: 300
• Category: Library

✦ Synopsis

Organizational Data Mining

Authors : Hamid R. Nemati & Christopher D. Barko

Copyright 2004

As it is stated by the authors, " the Organizational Data Mining is defined as leveraging Data Mining Tools and Technologies to enhance the decision-making process by transforming data into valuable and actionable knowledge to gain a strategic competitive advantage. Organizational Data Mining is a superset of Data Mining that focuses primarily on enhancing organizational decisions. Data Mining is a process that uses statistics, artificial intelligence, and machine learning techniques to extract and identify useful information, and subsequent knowledge, from large databases. Organizational Data Mining goes one step further by exploring patterns and relationships within databases to gain insight and uncover hidden knowledge to enhance the enterprise's decision making process."

The book has several interesting chapters, each one covering one paper of different authors, covering several aspects of Organizational Data Mining. One for example is about Data Warehousing in 3M, other is about The Impediments to Exploratory Data Mining Success, other about A framework for Organizational Data Analysis and Organizational Data Mining; there are 19 more papers.

The authors have written several papers related to Organizational Data Mining in journals like Journal of Computer Information Systems and Industrial Management & Data Systems, in 2003 y 2004, and besides that the are only few papers on Organizational Data Mining.

The Concept of Organizational Data Mining is interesting, but I think it has not crystallized yet, or perhaps is not going to crystallize never.

Rolando Alberto Gonzales Lopez
Student of Doctoral Program of Management Esade ( Spain ) and Esan ( Perú )
Theme of interest : Data Mining for Medium and Small Enterprises
Lima-Perú