A unified foundation for business analytics

作者:

Highlights:

• Holistic foundation of business analytics introduced, as an ontology for the field

• Characterization business analytics as evidence-based problem recognition and solving

• Advance a framework of business analytics for a cohesive unifying view of the field

• Stimulates thinking about nature, role and future of business analytics initiatives

• Deduces unresolved issues for considerations by researchers/educators/practitioners

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.

论文关键词:Analytics,Business analytics,Business intelligence,Decision making,Decision support,Evidence-based

论文评审过程:Received 23 August 2013, Revised 24 May 2014, Accepted 28 May 2014, Available online 6 June 2014.

论文官网地址:https://doi.org/10.1016/j.dss.2014.05.013