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Organizations are now in an era of scale, where the volumes of data gathered, processed and stored is breaking down every architectural construct in the storage industry. This have seen organizations improve their analytics processes such as acquiring and using big data analytics tools as well as increasing their bandwidth and storage devices in order to boost their operational efficiency with little complexity. However, apart from the fact that there are different analytics applications there other issues that need to be paid attention to while addressing the Big Data boom. This paper reports on Big Data Analytics readiness in a public sector. The study was informed by data collected from South African Revenue Services (SARS) by using a close-ended questionnaires. The collected data was analysed quantitatively and the findings indicated that technological infrastructure, security, reliability, finances, competitors, customers and vendors are core antecedents for Big Data analytic readiness. Much as the techniques for big data analytics aren't all that new, fewer studies have been conducted hence this study contributes to information systems literature of Big Data analytics.
Mokgadi et al. (Mon,) studied this question.