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Analytics service oriented architecture for enterprise information systems

conference contribution
posted on 2014-12-04, 00:00 authored by Z Sun, K D Strang, John YearwoodJohn Yearwood
Big data analytics and business analytics are disruptive technology and innovative solution for enterprise development. However, what is the relationship between big data analytics and business analytics? What is the relationship between business analytics and enterprise information systems (EIS)? How can business analytics enhance the development of EIS? These are still big issues for EIS development. This paper addresses these three issues by proposing an 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 can enhance to develop EIS. This paper also discusses the interrelationship between data analysis and business analytics, and between data analytics and big data analytics. The proposed approaches in this paper will facilitate research and development of EIS, business analytics, big data analytics, and business intelligence.

History

Event

International Organization for Information Integration and Web-based Applications & Services. Conference (16th : 2014 : Hanoi, Vietnam)

Series

International Organization for Information Integration and Web-based Applications & Services Conference

Pagination

508 - 516

Publisher

Association for Computer Machinery

Location

Hanoi, Vietnam

Place of publication

New York, N.Y.

Start date

2014-12-04

End date

2014-12-06

ISBN-13

9781450330015

Language

eng

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Copyright notice

2014, ACM

Editor/Contributor(s)

M Indrawan-Santiago, M Steinbauer, H Nguyen, A Tjoa, I Khalil, G Anderst-Kotsis

Title of proceedings

iiWAS2014 : Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services