Can big data analytics improve the quality of decision-making in businesses?

Mesbaul Haque Sazu, Sakila Akter Jahan
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引用次数: 39

Abstract

Big data analytics (BDA) initiatives are crucial for changing conventional firms' decision-making (DM) directly into a data driven one that helps achieve the firm's objectives. Nevertheless, prior information methods analysis has not given sufficient interest in the effect of BDA use on DM merit. Using the computational ability of information analytics, this analysis examined the effect of BD on DM merit and evaluated the arbitrating impact of data analytics abilities. We gathered information through 480 software companies in America. The empirical methods demonstrated that BDA implementation had a strong effect on DM merit, where BDA had an arbitrating role in the relationship between BDA use and DM merit. Thus, companies would not only increase BDA use in business DM, but also take steps to boost the data analytics abilities, which will boost the DM merit in the direction of acquiring competitive advantage.
大数据分析能提高企业决策的质量吗?
大数据分析(BDA)计划对于将传统公司的决策(DM)直接转变为有助于实现公司目标的数据驱动决策(DM)至关重要。然而,先验信息方法分析并没有对BDA的使用对决策价值的影响给予足够的兴趣。利用信息分析的计算能力,本分析检查了BD对DM优点的影响,并评估了数据分析能力的仲裁影响。我们通过美国的480家软件公司收集信息。实证方法表明,BDA的实施对DM优点有很强的影响,其中BDA在BDA使用和DM优点之间的关系中起着仲裁作用。因此,企业不仅要增加BDA在商业数据管理中的使用,而且要采取措施提高数据分析能力,这将在获得竞争优势的方向上提高数据管理的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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