Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China

Research Article

Construction of a Practical Teaching Platform for DBE Financial Shared Service Centers Based on Big Data Technology

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  • @INPROCEEDINGS{10.4108/eai.8-12-2023.2344701,
        author={Shue  Ma},
        title={Construction of a Practical Teaching Platform for DBE Financial Shared Service Centers Based on Big Data Technology},
        proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2024},
        month={4},
        keywords={big data technology; dbe financial shared service center; practical teaching platform},
        doi={10.4108/eai.8-12-2023.2344701}
    }
    
  • Shue Ma
    Year: 2024
    Construction of a Practical Teaching Platform for DBE Financial Shared Service Centers Based on Big Data Technology
    MSIEID
    EAI
    DOI: 10.4108/eai.8-12-2023.2344701
Shue Ma1,*
  • 1: Shandong Institute of Commerce and Technology
*Contact email: 335908128@qq.com

Abstract

With the widespread application of information technology in the field of education, financial shared service centers have accumulated a large amount of structured and unstructured data. The application of big data technology can effectively store, process, and perform multidimensional analysis on this massive data, discovering correlations among data to improve financial management and teaching quality. This paper designs and implements a practical teaching platform for DBE (Data-Based Education) financial shared service centers based on big data technology. The platform integrates data from multiple heterogeneous sources and uses technologies such as stream processing, data warehousing, and data mining to collect, process, and analyze financial data. The platform supports functions such as financial alerts, anomaly detection, and teaching effectiveness assessment. The research shows that this platform can make financial monitoring more intelligent, optimize teaching processes, and enhance teaching quality.