Affiliation:
1. Cape Peninsula University of Technology, South Africa
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.
Cited by
2 articles.
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1. Requirements for Building a Business-Driven Reference Architecture for Implementation of Big Data Analytics by Public Sector Organizations: A Case Study of Uganda;2023 First International Conference on the Advancements of Artificial Intelligence in African Context (AAIAC);2023-11-15
2. Future Database Technologies for Big Data Analytics;2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS);2023-02-09