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Leveraging big data analytics to improve decision making in South African public universities

机译:利用大数据分析来改善南非公立大学的决策

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Despite the potential of Big Data analytics to improve decision making within organizations, there are a number of challenges that impede the achievement of this goal. Such challenges include but not limited to organizational preparedness and capacity to handle Big Data, lack of resources like skilled personnel and appropriate technology needed for analysis, lack of awareness of the relevant methods for analysis and interpretation of the analyzed data as well as individual characteristics. The objective of this study was to design a framework for Big Data analytics (BDA) in public universities so as to improve decision making. The study used quantitative approach. The developed BDA model from this study will help universities to discover the weaknesses of their current setting to hinder sound decision making.
机译:尽管大数据分析有潜力改善组织内部的决策制定,但仍有许多挑战阻碍了这一目标的实现。这些挑战包括但不限于组织准备和处理大数据的能力,缺乏像熟练人员这样的资源和分析所需的适当技术,缺乏对用于分析和解释所分析数据的相关方法以及个人特征的认识。这项研究的目的是为公立大学设计大数据分析(BDA)框架,以改善决策制定能力。该研究采用定量方法。这项研究开发的BDA模型将帮助大学发现其当前环境的弱点,从而阻碍合理的决策。

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