Application of Big Data Statistical Analysis Methods in the Field of Economic Management

Jiahao Ji

doi:10.62051/ijgem.v4n2.32

Authors

Jiahao Ji

DOI:

https://doi.org/10.62051/ijgem.v4n2.32

Keywords:

Big data, Statistical analysis, Economic management, Intelligent logistics, Organizational management

Abstract

With the rapid development of information technology and the explosive growth of data volume, big data has gradually become an important tool in the field of economic management. By collecting, analyzing and processing large amounts of data, big data statistical analysis methodology can provide enterprises and researchers with effective information contained in the data, so as to more accurately predict the market development trend, assess enterprise risks, and optimize the management and operation processes. The purpose of this paper is to discuss the application of big data statistical analysis methods in the field of economic management, and to demonstrate the practical application effects of big data analysis in different economic management scenarios by analyzing specific examples - Jingdong's intelligent logistics Qinglong system, Google Oxygen Plan's organizational control and Citibank's user attraction. Thus, it highlights the prospect of the wide application of big data technology in the field of economic management and its remarkable effectiveness.

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