Organizational Data Mining: Leveraging Enterprise Data Resources...

Features

• Cover Type: Hard Cover with 388 pages
• Published by: IGI Global September 2003
• Written in: English
• ISBN 10 Number: 1591401348
• ISBN 13 Number: 978-1591401346
• Book Dimensions: 10.5 x 6.9 x 1 inches
• Weighs: 1.9 pounds

Book Info
Text provides an account of data warehousing and data mining applications for the organization. Provides coverage of technical and organizational aspects of these techniques, supplemented by case studies of real commercial applications. Softcover, hardcover available from the publisher. DLC: Knowledge management. --This text refers to the Paperback edition.

About The Author
Hamid R. Nemati is an Associate Professor of Information Systems at the Information Systems and Operations Management Department of The University of North Carolina at Greensboro, USA. He holds a doctorate degree in Management Sciences and Information Technology from the University of Georgia and a Master of Business Administration from The University of Massachusetts. He has extensive professional IT experience as an analyst and has consulted with a number of major corporations. Before coming to UNCG, he was on the faculty of J. Mack Robinson College of Business Administration at Georgia State University. His research specialization is in the areas of Organizational Data Mining, Decision Support Systems, Data Warehousing, and Knowledge Management. He has presented nationally and internationally on a wide range of topics relating to his research interests. His research has been published in a numerous top tier scholarly journals .

Christopher D. Barko is an information technology professional at Laboratory Corporation of America, USA. His IT industry experience spans many years in various consulting, business intelligence, software engineering and analyst positions for a number of Fortune 500 organizations. He received his B.B.A. in Computer Information Systems from James Madison University and M.B.A. from the University of North Carolina at Greensboro where he specialized in Decision Support Systems. His current research interests include Organizational Data Mining, Business Intelligence and Customer Relationship Management and how these technologies can enhance the organizational decision-making process to optimize resource allocation and improve profitability. His research has been published in several leading journals such as the Journal of Data Warehousing, Journal of Computer Information Systems, and others. He is also President of Customer Analytics, Inc., a consultancy that leverages advanced analytics to deliver profitable and effective database marketing solutions.

Reader Reviews
This review is from: Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance (Paperback) 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 Comment | | (Report this)