Business Analytics-Based Enterprise Information Systems

被引：49

作者：

Sun, Zhaohao ^{[1
]}

Strang, Kenneth ^{[2
]}

Firmin, Sally ^{[3
]}

机构：

[1] PNG Univ Technol, Lae, Papua N Guinea

[2] SUNY Coll Plattsburgh, Plattsburgh, NY 12901 USA

[3] Federat Univ Australia, Ballarat, Vic, Australia

来源：

JOURNAL OF COMPUTER INFORMATION SYSTEMS | 2017年 / 57卷 / 02期

关键词：

Business analytics; big data analytics; enterprise information systems; business intelligence; service oriented architecture; DECISION-SUPPORT-SYSTEMS; BIG DATA;

D O I：

10.1080/08874417.2016.1183977

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：169 / 178

页数：10