Journal Article10.1016/J.DSS.2014.05.013
A unified foundation for business analytics
Clyde W. Holsapple,Anita Lee-Post,Ram Pakath +2 more
- 01 Aug 2014
- Vol. 64, Iss: 64, pp 130-141
388
TL;DR: It is found that business analytics involves issues quite aside from data management, number crunching, technology use, systematic reasoning, and so forth, and a relatively comprehensive and holistic foundation of business analytics is introduced.
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Abstract: 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. Holistic foundation of business analytics introduced, as an ontology for the fieldCharacterization business analytics as evidence-based problem recognition and solvingAdvance a framework of business analytics for a cohesive unifying view of the fieldStimulates thinking about nature, role and future of business analytics initiativesDeduces unresolved issues for considerations by researchers/educators/practitioners
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References
Dynamic capabilities and strategic management
TL;DR: The dynamic capabilities framework as mentioned in this paper analyzes the sources and methods of wealth creation and capture by private enterprise firms operating in environments of rapid technological change, and suggests that private wealth creation in regimes of rapid technology change depends in large measure on honing intemal technological, organizational, and managerial processes inside the firm.
Bounded Rationality and Organizational Learning
TL;DR: In this article, the authors argue that without working toward a higher level of consistency in terminology than prevails in organization theory today, it will be difficult or impossible to cumulate and assemble into a coherent structure the knowledge we are gaining from individual case studies and experiments.
Bounded Rationality and Organizational Learning
TL;DR: In this article, the authors argue that without working toward a higher level of consistency in terminology than prevails in organization theory today, it will be difficult or impossible to cumulate and assemble into a coherent structure the knowledge we are gaining from individual case studies and experiments.
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Visual Analytics: Definition, Process, and Challenges
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TL;DR: The possibilities to collect and store data increase at a faster rate than the ability to use it for making decisions, and in most applications, raw data has no value in itself; instead the authors want to extract the information contained in it.
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