Analytics Service Oriented Architecture for Enterprise Information Systems
Zhaohao Sun, Kenneth David Strang, John Yearwood
Abstract
Zhaohao Sun, Kenneth David Strang, John Yearwood
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.
OpenAlex reports 39 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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.
Key concepts: Business analytics, Analytics, Business intelligence, Big data, Software analytics, Semantic analytics, Computer science, Web analytics