The impact of Big Data Analytics in Developing Strategic Performance using Balanced Scorecard: A Field Study in Egypt

Sawsan Assaf
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Abstract

This study aims to clarify and investigate the effect of Big Data Analytics (BDA) in developing the Strategic Measurement using the Balanced Scorecard (BSC). Big data is one of the most rising technology trends that has the potential to change the way businesses use behavior analysis and turn it into valuable insights. Research on the effects of using big data analytics on measures of financial and nonfinancial performance is still limited, especially in Egypt. To accomplish the research aim, the theoretical discussion was developed through the determination of Big Data, Big Data Analytics, and its most important characteristics, addressing the financial and nonfinancial measures for each of the Balanced Scorecard perspectives. The study's hypotheses were tested through the survey list that was distributed to 110 executives and data analysts in ICT companies in Egypt. The results of the study proved the significance of these hypotheses. The results of the field study indicated that measuring the financial and nonfinancial performance of the balanced scorecard based on BDA increases the ability of organizations to analyze structured data, reduce the cost of analyzing unstructured data, increase the ability to deal with the problems of stakeholders, customers, and employees in the organization quickly, and reduce the time spent to analyze the data of both financial and nonfinancial performance.
大数据分析在使用平衡计分卡开发战略绩效中的影响:埃及的一项实地研究
本研究旨在阐明和调查大数据分析(BDA)在使用平衡计分卡(BSC)开发战略测量中的作用。大数据是最新兴的技术趋势之一,它有可能改变企业使用行为分析的方式,并将其转化为有价值的见解。关于使用大数据分析对财务和非财务绩效衡量的影响的研究仍然有限,特别是在埃及。为了完成研究目标,通过确定大数据、大数据分析及其最重要的特征,解决每个平衡计分卡视角的财务和非财务措施,展开了理论讨论。通过向埃及ICT公司的110名高管和数据分析师分发的调查清单,对该研究的假设进行了检验。研究结果证明了这些假设的意义。实地研究结果表明,基于BDA的平衡计分卡对财务和非财务绩效的度量提高了组织分析结构化数据的能力,降低了分析非结构化数据的成本,提高了组织快速处理利益相关者、客户和员工问题的能力,减少了分析财务和非财务绩效数据所花费的时间。
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