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Towards Differentiating Business Intelligence, Big Data, Data Analytics and Knowledge Discovery

Dedic, Nedim and STANIER, Clare (2016) Towards Differentiating Business Intelligence, Big Data, Data Analytics and Knowledge Discovery. In: Lecture Notes in Business Information Processing (LNBIP) 285. Lecture Notes in Business Information Processing (LNBIP), ch 10 . Springer International Publishing AG 2017, Vienna.

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Abstract or description

Abstract. Confusion, ambiguity and misunderstanding of the concepts and terminology regarding different approaches concerned with analysing massive data sets (Business Intelligence, Big Data, Data Analytics and Knowledge Discovery) was identified as a significant issue faced by many academics, fellow researchers, industry professionals and domain experts. In that context, a need to critically evaluate these concept and approaches focusing on their similarities, differences and relationships was identified as useful for further research and industry professionals. In this position paper, we critically review these four approaches and produce a framework, which provides visual representation of the relationship between them to effectively support their identification and easier differentiation

Item Type: Book Chapter, Section or Conference Proceeding
Faculty: School of Computing and Digital Technologies > Computing
Depositing User: Clare STANIER
Date Deposited: 29 Jun 2017 13:33
Last Modified: 05 Sep 2017 11:31
URI: http://eprints.staffs.ac.uk/id/eprint/3551

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