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Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China

Research Article

Research on The Application of Big Data Technology in The Financial Industry

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2327932,
        author={Chen  Zhang and Min  Liu},
        title={Research on The Application of Big Data Technology in The Financial Industry},
        proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICICA},
        year={2023},
        month={3},
        keywords={big data; financial industry; data application},
        doi={10.4108/eai.2-12-2022.2327932}
    }
    
  • Chen Zhang
    Min Liu
    Year: 2023
    Research on The Application of Big Data Technology in The Financial Industry
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2327932
Chen Zhang1,*, Min Liu1
  • 1: Lanzhou University of Technology
*Contact email: 601257236@qq.com

Abstract

In recent years, with the continuous development of financial business, financial institutions have massive data, and the accumulation of data volume has grown explosively, prompting many financial institutions to start promoting big data strategies. With the deepening of the application of big data technology and the continuous improvement of data processing and analysis capabilities, financial institutions will usher in new development opportunities, and at the same time, this will also bring challenges to the financial supervision of big data applications. This paper starts from the specific application of big data in the financial industry and the specific problems faced by big data in the financial industry, and puts forward some regulatory suggestions in this regard, in order to promote the development and application of big data in the financial industry.

Keywords
big data; financial industry; data application
Published
2023-03-27
Publisher
EAI
http://dx.doi.org/10.4108/eai.2-12-2022.2327932
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