A Cubic Framework for the Chief Data Officer (CDO): Succeeding in a World of Big Data
Name
Madnick_A cubic.pdf
Size
818.04 KB
Format
Adobe PDF
Checksum (MD5)
f5fc53f3293968b7d99d737d549ac029
Author(s)
Lee, Yang
Madnick, Stuart E.
Wang, Richard Y.
Wang, Forea
Zhang, Hongyun
Alternative Title
A Cubic Framework for the Chief Data Officer: Succeeding in a World of Big Data
Date Issued
March 2014
Journal
MIS Quarterly Executive
Publisher
Management Information Systems Research Center, Carlson School of Management, University of Minnesota
Citation
Lee, Yang, Stuart Madnick, Richard Wang, Forea Wang, and Hongyun Zhang. "A Cubic Framework for the Chief Data Officer: Succeeding in a World of Big Data." MIS Quarterly Executive 13(1) (March 2014).
Version
Author's final manuscript
Abstract
A new breed of executive, the chief data officer (CDO), is emerging as a key leader in the organization. We provide a three-dimensional cubic framework that describes the role of the CDO. The three dimensions are: (1) Collaboration Direction (inwards vs. outwards), (2) Data Space (traditional data vs. big data) and (3) Value Impact (service vs. strategy). We illustrate the framework with examples from early adopters of the CDO role and provide recommendations to help organizations assess and strategize the establishment of their own CDOs.
MIT Department
MIT Sociotechnical Systems Research Center
Sloan School of Management
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
http://misqe.org/ojs2/index.php/misqe/article/view/510
