Implementation of Big Data Analytics for Government Enterprise

N. Matiwane, T. Iyamu
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引用次数: 2

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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政企大数据分析的实施
在南非政府内部,有越来越多的数据。问题是,南非政府正在努力运用大数据分析(BDA)的概念来分析其大数据。这可以归因于从技术和非技术角度的专门知识。未能实施BDA并确保适当使用妨碍了政府、企业和机构提供优质服务的动力。本研究之所以选择一家政府企业作为案例,主要是因为BDA的概念对许多南非政府部门来说都是新的。通过深度访谈收集数据。通过分析,揭示了影响政府企业BDA实施的四个因素:知识、流程、差异化和技能。基于这些因素,以模型的形式形成了一套标准。
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