The Effective Application of Big Data Analysis in Supply Chain Management

Abstract

In today’s world, the use of big data is almost everywhere. It has been widely used. Under the background of big data, how to carry out supply chain management based on big data technology and obtain scientific and effective valuable information has become an urgent problem for enterprises. This paper first analyzes the influencing factors of big data in the application of supply chain, and then studies the effective application of big data analysis in supply chain management.

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“…In an IT industry, there will be many channels in the process operation which carries the information. This information gathers for deriving effective value through data analysis [27]. Data analysis is a time-consuming task, and failing in an efficient analysis will lead to making wrong decisions.…”

“…As a consequence, before analyzing the data, the quality of data should be improved to ensure the deriving of accurate information. The quality of data is measured using multiple dimensions, resulting in the evaluation of accuracy, timeliness, and other factors of data [27]. Different data analysis technologies such as machine learning, deep learning, natural language processing, data mining, text analytics, and predictive analytics can be employed to analyze data and extract business values from it [12,[18][19][20].…”