大数据分析

Arsalan Zahid Piprani, Amjad Ali, Adeel Shah
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引用次数: 0

摘要

随着可访问数据量的增长,出现了大量商业智能(BI)工具,所有这些工具都可以统称为大数据分析(BDA)。BDA在供应链管理相关活动中是必不可少的,因为它可以管理全球的、复杂的、狂暴的和动态的价值链。大数据(BD)能力对供应链(SC)和整体公司绩效的强大影响吸引了运营管理研究人员,他们认为大数据对供应链和公司绩效产生了重大影响。本章讨论了大数据分析的重要性,并将其与供应链环境中的意义联系起来。作者展示了大数据分析(BDA)如何在全球和动态市场中成为组织成功的关键因素。本章还强调了在供应链中实施大数据分析的一些障碍和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Analytics
As the magnitude of accessible data grows, a multitude of business intelligence (BI) tools have emerged, all of which may be together referred to as big data analytics (BDA). BDA in supply chain management-related activities is essential because it can manage global, complex, tempestuous, and dynamic value chains. The powerful influence of big data (BD) capabilities on supply chain (SC) and overall company performance is attracting operations management researchers, who see them as having a significant impact on supply chain and company performance. This chapter discussed the importance of big data analytics and connected it with its significance in the supply chain context. The authors demonstrated how big data analytics (BDA) is a critical success element for an organization in the global and dynamic market. This chapter also highlights some of the barriers and challenges in implementing big data analytics in the supply chain.
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