Incorporating Big Data Analytics into Enterprise Information Systems

被引：5
|
作者：
Sun, Zhaohao [1 ]
Pambel, Francisca [1 ]
Wang, Fangwei [2 ]
机构：
[1] PNG Univ Technol, Dept Business Studies, Lae 411, Morobe, Papua N Guinea
[2] Hebei Normal Univ, Sch Informat Technol, Shijiazhuang 050032, Peoples R China
来源：
INFORMATION AND COMMUNICATION TECHNOLOGY | 2015年 / 9357卷
关键词：
Big data; Big data analytics; Enterprise information systems; Business intelligence; Intelligent agents;
D O I：
10.1007/978-3-319-24315-3_31
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 has received widespread attention for enterprise development and enterprise information systems (EIS). However, how can it enhance the development of EIS? How can it be incorporated into EIS? Both are still big issues. This paper addresses these two issues by proposing an ontology of a big data analytics. This paper also examines incorporation of big data analytics into EIS through proposing BABES: a model for incorporating big data analytics services into EIS. The proposed approach in this paper might facilitate the research and development of EIS, business analytics, big data analytics, and business intelligence as well as intelligent agents.
引用
收藏
页码：300 / 309
页数：10
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