Christopher D. Barko

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.

Publications

Organizational Data Mining (ODM): An Introduction
Organizational Data Mining (ODM): An Introduction
Hamid R. Nemati, Christopher D. Barko. © 2008. 7 pages.
An increasing number of organizations are struggling to overcome “information paralysis” — there is so much data available that it is difficult to understand what is and is not...
Leveraging Customer Data Integration for Effective E-CRM Analytics
Leveraging Customer Data Integration for Effective E-CRM Analytics
Thomas P. Van Dyke, Hamid R. Nemati, Christopher D. Barko. © 2006. 6 pages.
A holistic view of the customer is a desirable resource in many organizations today. The findings from a recent DMG Consulting study confirm this reality—possessing integrated...
Organizational Data Mining
Organizational Data Mining
Hamid R. Nemati, Christopher D. Barko. © 2005. 5 pages.
Data mining is now largely recognized as a business imperative and considered essential for enabling the execution of successful organizational strategies. The adoption rate of...
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. © 2004. 388 pages.
Successfully competing in the new global economy requires immediate decision capability. This immediate decision capability requires quick analysis of both timely and relevant...
E-CRM Analytics: The Role of Data Integration
E-CRM Analytics: The Role of Data Integration
Hamid R. Nemati, Christopher D. Barko, Ashfaaq Moosa. © 2004. 19 pages.
Electronic Customer Relationship Management (e-CRM) Analytics is the process of analyzing and reporting online customer/visitor behavior patterns with the objective of acquiring...
Organizational Data Mining (ODM): An Introduction
Organizational Data Mining (ODM): An Introduction
Hamid R. Nemati, Christopher D. Barko. © 2004. 8 pages.
An increasing number of organizations are struggling to overcome “information paralysis” — there is so much data available that it is difficult to understand what is and is not...
Building Competitive Advantage through E-CRM Analytics and Data Integration
Building Competitive Advantage through E-CRM Analytics and Data Integration
Hamid R. Nemati, Christopher D. Barko, Ashfaaq Moosa. © 2004. 23 pages.
Electronic Customer Relationship Management (e-CRM) Analytics is the process of analyzing and reporting online customer/visitor behavior patterns with the objective of acquiring...
E-CRM Analytics: The Role of Data Integration
E-CRM Analytics: The Role of Data Integration
Hamid R. Nemati, Christopher D. Barko, Ashfaaq Moosa. © 2003. 17 pages.
Electronic Customer Relationship Management (e-CRM) Analytics is the process of analyzing and reporting online customer/visitor behavior patterns with the objective of acquiring...