- Title
- Analytics service oriented architecture for enterprise information systems
- Creator
- Sun, Zhaohao; Strang, Kenneth; Yearwood, John
- Date
- 2014
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/160860
- Identifier
- vital:12303
- Identifier
-
https://doi.org/10.1145/2684200.2684358
- Abstract
- 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.
- Publisher
- Association for Computing Machinery
- Relation
- 16th International Conference on Information Integration and Web-based Applications & Services
- Rights
- © 2014 ACM, Inc.
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0806 Information Systems
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