Business analytics-based enterprise information systems

- Sun, Zhaohao, Strang, Kenneth, Firmin, Sally

Title
Business analytics-based enterprise information systems
Creator
Sun, Zhaohao; Strang, Kenneth; Firmin, Sally
Date
2017
Type
Text; Journal article
Identifier
http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/159302
Identifier
vital:11966
Identifier
https://doi.org/10.1080/08874417.2016.1183977
Identifier
ISSN:0887-4417
Abstract
Big data analytics and business analytics are a disruptive technology and innovative solution for enterprise development. However, what is the relationship between business analytics, big data analytics, and enterprise information systems (EIS)? How can business analytics enhance the development of EIS? How can analytics be incorporated into EIS? These are still big issues. This article addresses these three issues by proposing ontology of business analytics, presenting an analytics service-oriented architecture (ASOA) and applying ASOA to EIS, where our surveyed data analysis showed that the proposed ASOA is viable for developing EIS. This article then examines incorporation of business analytics into EIS through proposing a model for business analytics service-based EIS, or ASEIS for short. The proposed approach in this article might facilitate the research and development of EIS, business analytics, big data analytics, and business intelligence.
Publisher
Taylor & Francis
Relation
Journal of Computer Information Systems Vol. 57, no. 2 (2017), p. 169-178
Rights
Copyright © 2017 International Association for Computer Information Systems
Rights
This metadata is freely available under a CCO license
Subject
0806 Information Systems; 1503 Business and Management; Business analytics; Big data analytics; Enterprise information systems; Business intelligence; Service oriented architecture
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