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Big Data in Financial Management

In: Proceedings of 2024 6th International Conference on Economic Management and Cultural Industry (ICEMCI 2024)

Author

Listed:
  • Tingyi Wang

    (Computer Science and Technology)

Abstract

In the current digital era, data has risen to be one of the most precious resources for enterprises. The rapid progress of information technology and its wide application have prompted enterprises to accumulate a huge amount of data in their daily operation activities, which cover multiple dimensions such as internal financial information system, external market information and macroeconomic indicators. Mastering the systematic collection, storage, analysis and application of such information through big data technology to strengthen the decision-making process of enterprise financial management has become a major issue and potential opportunity for enterprises. In addition, this direction of application of big data technology has far-reaching significance. The article begins by defining the connotation and characteristics of big data, then discusses its diversified applications in financial management practice, involving financial forecasting, decision-making assistance, financial supervision and in-depth analysis, and finally puts forward strategies and reflections on the challenges that may be encountered in the implementation of big data technology in financial management.

Suggested Citation

  • Tingyi Wang, 2025. "Big Data in Financial Management," Advances in Economics, Business and Management Research, in: Hang Luo & Tang Yao & Wei Cui & Hongbo Li (ed.), Proceedings of 2024 6th International Conference on Economic Management and Cultural Industry (ICEMCI 2024), pages 133-138, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-642-0_14
    DOI: 10.2991/978-94-6463-642-0_14
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