A unified foundation for business analytics

被引:210
作者
Holsapple, Clyde [1 ]
Lee-Post, Anita [2 ]
Pakath, Ram [3 ]
机构
[1] Univ Kentucky, Gatton Coll Business & Econ, Lexington, KY 40506 USA
[2] Univ Kentucky, Gatton Coll Business & Econ, Dept Mkt & Supply Chain Management, Lexington, KY 40506 USA
[3] Univ Kentucky, Gatton Coll Business & Econ, Dept Finance & Quantitat Methods, Lexington, KY 40506 USA
关键词
Analytics; Business analytics; Business intelligence; Decision making; Decision support; Evidence-based; KNOWLEDGE; INTELLIGENCE; MOVEMENT;
D O I
10.1016/j.dss.2014.05.013
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Synthesizing prior research, this paper designs a relatively comprehensive and holistic characterization of business analytics - one that serves as a foundation on which researchers, practitioners, and educators can base their studies of business analytics. As such, it serves as an initial ontology for business analytics as a field of study. The foundation has three main parts dealing with the whence and whither of business analytics: identification of dimensions along which business analytics possibilities can be examined, derivation of a six-class taxonomy that covers business analytics perspectives in the literature, and design of an inclusive framework for the field of business analytics. In addition to unifying the literature, a major contribution of the designed framework is that it can stimulate thinking about the nature, roles, and future of business analytics initiatives. We show how this is done by deducing a host of unresolved issues for consideration by researchers, practitioners, and educators. We find that business analytics involves issues quite aside from data management, number crunching, technology use, systematic reasoning, and so forth. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:130 / 141
页数:12
相关论文
共 92 条
[1]  
Ackoff R., 1953, DESIGN SOCIAL RES, VFourth
[2]  
[Anonymous], HDB DECISION SUPPORT
[3]  
[Anonymous], ACTIONABLE WEB ANAL
[4]  
[Anonymous], 1956, P868 RAND CORP
[5]   Moving from data-constrained to data-enabled research: Experiences and challenges in collecting, validating and analyzing large-scale e-commerce data [J].
Bapna, Ravi ;
Goes, Paulo ;
Gopal, Ram ;
Marsden, James R. .
STATISTICAL SCIENCE, 2006, 21 (02) :116-130
[6]  
Bennet A., 2008, HDB DECISION SUPPORT, V1, P1
[7]  
Betser J, 2013, BIG DATA AND BUSINESS ANALYTICS, P1
[8]   Advanced analytics: opportunities and challenges [J].
Bose, Ranjit .
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2009, 109 (1-2) :155-172
[9]  
Bryant D.J., 2003, Canadian Military Journal, V4, P29
[10]  
Buse R., 2010, FSE SDP WORKSH FUT S