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Implementation of Big Data Analytics for Government Enterprise

Implementation of Big Data Analytics for Government Enterprise
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Author(s): Namhla Matiwane (Cape Peninsula University of Technology, South Africa) and Tiko Iyamu (Cape Peninsula University of Technology, South Africa)
Copyright: 2022
Pages: 13
Source title: Research Anthology on Big Data Analytics, Architectures, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3662-2.ch062

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Abstract

Within the South African government, there is an increasing amount of data. The problem is that the South African government is struggling to employ the concept of big data analytics (BDA) for the analysis of its big data. This could be attributed to know-how from both technical and nontechnical perspectives. Failure to implement BDA and ensure appropriate use hinders government enterprises and agencies in their drive to deliver quality service. A government enterprise was selected and used as a case in this study primarily because the concept of BDA is new to many South African government departments. Data was collected through in-depth interviews. From the analysis, four factors—knowledge, process, differentiation, and skillset—that can influence implementation of BDA for government enterprises were revealed. Based on the factors, a set of criteria in the form of a model was developed.

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