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Application of Big Data Analysis Method in Supply Chain

机译:大数据分析方法在供应链中的应用

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Big data has the characteristics of large scale, many kinds, fast generation, high value but low density. Big data application is the use of data analysis methods, from the big data mining effective information, to provide users with auxiliary decision-making, to realize the process of large data value. In the era of limited information processing capacity, the world needs data analysis, but the lack of tools used to analyze the collected data, so the big data analysis method came into being. Big data analysis has changed a lot of business areas, especially in the supply chain management of the biggest change in the application. This paper mainly introduces the application of big data analysis method and the application in the supply chain, and further expounds the future development of big data analysis method in the future.
机译:大数据具有规模大,种类多,生成快,价值高,密度低的特点。大数据应用是利用数据分析方法,从大数据中挖掘有效信息,为用户提供辅助决策,以实现大数据价值的过程。在信息处理能力有限的时代,世界需要数据分析,但是缺乏用于分析收集到的数据的工具,因此大数据分析方法应运而生。大数据分析已经改变了许多业务领域,尤其是在供应链管理中应用程序的最大变化。本文主要介绍了大数据分析方法的应用以及在供应链中的应用,并进一步阐述了大数据分析方法在未来的发展。

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