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
Pagination
508-516
Location
Hanoi, Vietnam
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)
Indrawan-Santiago M, Steinbauer M, Nguyen HQ, Tjoa AM, Khalil I, Anderst-Kotsis G
Title of proceedings
iiWAS2014 : Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services
Event
International Organization for Information Integration and Web-based Applications & Services. Conference (16th : 2014 : Hanoi, Vietnam)
Publisher
Association for Computer Machinery
Place of publication
New York, N.Y.
Series
International Organization for Information Integration and Web-based Applications & Services Conference