Author(s)

Xu Rong ¹

Affiliation(s)

¹ Shanghai National Accounting Institute, Shanghai, China

Corresponding Author

Xu Rong

ABSTRACT

The conversion of business and finance data is a critical and challenging aspect of financial digital transformation. This article conducts research based on the difficulties encountered in the digitalization of corporate finance, such as big data, development timeliness, and real-time data processing. Drawing on years of experience in financial digitalization, the article presents a solution that has been implemented within the author's company. It introduces the main functions of the enterprise's finance data engine, which aims to address the problem of converting business and finance data during the digital transformation of enterprises. The platform achieves data source access, data conversion rules, task execution, and data push through configuration, enhancing the flexibility and accuracy of data processing. It ensures that business data is generated in a timely, accurate, and complete manner to support the construction of a financial digital system.

KEYWORDS

Big Data, Business and Finance Integration, Configuration, Financial Digitalization

CITE THIS PAPER

Xu Rong, Business and Finance Data Engine: A Solution and Practical Implementation for Financial Digital Transformation. Information Systems and Economics (2025) Vol. 6: 12-20. DOI: http://dx.doi.org/10.23977/infse.2025.060103.

REFERENCES

[1] Jin Yuan, Quanna Jun. Financial Data Middle Office Based on RPA Technology: Framework, Practice, and Reflection [J]. Finance and Accounting, 2024. (22): 17~23.
[2] Jin Yuan, Li Chengzhi. Research on Data-driven Financial Decision Support [J]. Accounting Communication, 2023. (3): 140-147.
[3] Li Duanmin, Chen Qiangyu. Research and Practice on Comprehensive Construction of Financial Data Based on Digital Transformation [J]. China Chief Accountant, 2021 (9): 138~140.
[4] Zhang Qinglong. Data Middle Office: Making Financial Data Usable [J]. Finance and Accounting, 2022 (9): 15~19.

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