Affiliation:
1. Cape Peninsula University of Technology, South Africa
Abstract
The similarities of big data analytics (BDA) and the know-how required because of its highly specialised nature have made it challenging for many organisations in attempts to select the tools. The challenge is increasingly prohibitive. This paper presents a formulaic approach consisting of set of criteria and a model, for selecting big data analytics tools for organisational purposes. The analysis focused on examining and gaining better understanding of the strengths and weaknesses of the most common BDA tools. The technical and non-technical factors that influence the selection of BDA are identified. The outcome of this study is intended to guide selection of most appropriate BDA tools and increase their usefulness in improving organizations' competitiveness.
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