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4 octobre 2015
- handle: 10670/1.d9zrdj
- hal: hal-01466248
- doi: 10.1007/978-3-319-24315-3_31
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-24315-3_31
http://creativecommons.org/licenses/by/ , info:eu-repo/semantics/OpenAccess
Mots-clés
Big data Big data analytics Enterprise information systems Business intelligence Intelligent agentsSujets proches
Large data sets Data sets, LargeCiter ce document
Zhaohao Sun et al., « Incorporating Big Data Analytics into Enterprise Information Systems », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.1007/978-3-319-24315-3_31
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Résumé
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.