Publication Type
Journal Article
Version
publishedVersion
Publication Date
3-2012
Abstract
The success of many different kinds of e-business operations depends on data and information, and how they are used to optimize operations, drive sales and marketing, and grow the business. The ability to manage and safeguard data as a strategic asset, transform it into actionable information, and use it as a strategic differentiator is a key contributor to the success of any business operation. What makes this an even more interesting challenge is the speed at which data have been growing in recent years, due to social networking, the Internet, mobile telephony and all kinds of new technologies that create and capture data. The popular press, McKinsey Consulting, IBM Research and many other organizations are now referring to this development with the phrase ‘‘big data’’. The broad recognition in industry is that e-commerce operations must be designed to take advantage of the data that have become available, as a basis for improving customer service, achieving firm awareness and making markets effective places for economic exchange. As a result, traditional data management, data engineering, and data analytics techniques do not seem to work well with the historically large amounts of data that many e-commerce operations face today. Indeed, these day electronic commerce is all about data!
Discipline
Computer Sciences | Management Information Systems | Technology and Innovation
Research Areas
Information Systems and Management
Publication
Electronic Commerce Research and Applications
Volume
11
Issue
2
First Page
85
Last Page
88
ISSN
1567-4223
Identifier
10.1016/j.elerap.2012.01.001
Publisher
Elsevier
Citation
KAUFFMAN, Robert J.; SRIVASTAVA, Jaideep; and VAYGHAN, Jamshid.
Business and data analytics: New innovations in the management of e-commerce. (2012). Electronic Commerce Research and Applications. 11, (2), 85-88.
Available at: https://ink.library.smu.edu.sg/sis_research/1752
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1016/j.elerap.2012.01.001
Included in
Computer Sciences Commons, Management Information Systems Commons, Technology and Innovation Commons