Title :
Business analytics: Research and teaching perspectives
Author :
Sharda, Ramesh ; Asamoah, Daniel Adomako ; Ponna, Natraj
Author_Institution :
Inst. for Res. in Inf. Syst., Oklahoma State Univ., Stillwater, OK, USA
Abstract :
Business analytics and big data are being discussed everywhere right now. The objective of this paper is to provide a research and teaching introduction to business analytics. It begins by providing a quick overview of the three types of analytics. To assist the future analytics professionals, we identify various sectors of the analytics industry and provide a classification of different types of industry participants. Then it includes a brief description of some current research projects under way in our team. We also note some research opportunities in Big Data analytics. The paper also concludes with a discussion of teaching opportunities in analytics.
Keywords :
business data processing; data analysis; analytics industry; big data analytics; business analytics; teaching opportunities; Data handling; Data storage systems; Information management; Injuries; Organizations; Predictive models; Analytics Big Data; Athletic Injuries; Healthcare; Research;
Conference_Titel :
Information Technology Interfaces (ITI), Proceedings of the ITI 2013 35th International Conference on
Conference_Location :
Cavtat
Print_ISBN :
978-953-7138-30-1
DOI :
10.2498/iti.2013.0589