The adage “knowledge is power” is widely accepted in corporate circles and tremendous amounts of data have and are being accumulated towards the goal of acquiring more knowledge. But corporations are increasingly realizing that there is a wide gap between “data” and “knowledge.” Data warehousing and data mining provide the techniques to refine and distill data into knowledge that can support enterprise decision-making processes.
Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance provides timely account of data warehousing and data mining applications for the organization. It provides a balanced coverage of technical and organizational aspects of these techniques, supplemented by case studies of real commercial applications.
About the Editors
Hamid R. Nemati is an associate professor of information systems in the Information Systems and Operations Management Department of the University of North Carolina at Greensboro (UNCG). 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 information technology 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 specializations are 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 numerous top tier scholarly journals.
Christopher D. Barko is an information technology professional at Laboratory Corporation of America. 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 BBA in computer information systems from James Madison University and MBA 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 data mining and advanced analytics to deliver profit-enhancing marketing solutions.
