Abstract
Big data analytics has received widespread attention for enterprise development and enterprise information systems (EIS). However, how can it enhance the development of EIS? How can it be incorporated into EIS? Both are still big issues. This paper addresses these two issues by proposing an ontology of a big data analytics. This paper also examines incorporation of big data analytics into EIS through proposing BABES: a model for incorporating big data analytics services into EIS. The proposed approach in this paper might facilitate the research and development of EIS, business analytics, big data analytics, and business intelligence as well as intelligent agents.
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CITATION STYLE
Sun, Z., Pambel, F., & Wang, F. (2015). Incorporating big data analytics into enterprise information systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9357, pp. 300–309). Springer Verlag. https://doi.org/10.1007/978-3-319-24315-3_31
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