Zhaohao Sun^a , Kenneth Strang^b , and Sally Firmin^c

^a PNG University of Technology, Lae, Papua New Guinea; ^b State University of New York, Plattsburgh, NY, USA; ^c Federation University Australia, Ballarat, Australia

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.

KEYWORDS

Business analytics; big data analytics; enterprise information systems; business intelligence; service oriented architecture

To link to this article: https://doi.org/10.1080/08874417.2016.1183977