Publication Type
Journal Article
Version
publishedVersion
Publication Date
1-2013
Abstract
Business intelligence and analytics (BIA) is about the development of technologies, systems, practices, and applications to analyze critical business data so as to gain new insights about business and markets. The new insights can be used for improving products and services, achieving better operational efficiency, and fostering customer relationships. In this article, we will categorize BIA research activities into three broad research directions: (a) big data analytics, (b) text analytics, and (c) network analytics. The article aims to review the state-of-the-art techniques and models and to summarize their use in BIA applications. For each research direction, we will also determine a few important questions to be addressed in future research.
Keywords
Business intelligence, Business analytics, Algorithm, Design, Performance
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Research Areas
Data Science and Engineering
Publication
ACM Transactions on Management Information Systems
Volume
3
Issue
4
First Page
1
Last Page
10
ISSN
2158-656X
Identifier
10.1145/2407740.2407741
Publisher
ACM
Citation
LIM, Ee Peng; CHEN, Hsinchun; and CHEN, Guoqing.
Business intelligence and analytics: Research directions. (2013). ACM Transactions on Management Information Systems. 3, (4), 1-10.
Available at: https://ink.library.smu.edu.sg/sis_research/1966
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Previous Versions
Additional URL
https://doi.org/10.1145/2407740.2407741
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons