The Application of Big Data Technology in Improving the Quality of Financial Accounting Information

Ting Li

doi:10.6981/FEM.202610_7(10).0021

Authors

Ting Li Department of accounting, Xiamen University, Xiamen, China

DOI:

https://doi.org/10.6981/FEM.202610_7(10).0021

Keywords:

Big Data Technology; Financial Accounting; Information Quality; Business and Financial Integration; Intelligent Analysis.

Abstract

The continuous development of the digital economy has led to the continuous expansion of the scale of enterprise business data, and the traditional financial accounting information processing method faces new requirements in terms of data accuracy, information timeliness and risk identification. With functions such as data integration, intelligent processing, dynamic analysis and abnormal recognition, big data technology provides new technical conditions for improving the quality of financial accounting information. The article analyses the application of big data technology in the quality improvement of financial accounting information, sorts out the role mechanism of big data technology that affects the formation of accounting information through the integration of business and financial data, intelligent analysis and tracking the whole process, and proposes to promote the integration of business and financial data, build an intelligent analysis system, and improve digital According to the implementation path of security mechanism, strengthening the cultivation of composite financial accounting talents, etc., improve the accuracy, timeliness and reliability of financial accounting information, and provide reference for the digital transformation of enterprise financial management.

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References

[1] Aboelfotoh, A., Zamel, A. M., Abu Musa, A. A., Frendy, Sabry, S. H., & Moubarak, H. (2025). Examining the ability of big data analytics to investigate financial reporting quality: A comprehensive bibliometric analysis. Journal of Financial Reporting and Accounting, 23(2), 444–471. https://doi.org/10.1108/JFRA 11 2023 0689

[2] Bao, Y., Ke, B., Li, B., Yu, Y. J., & Zhang, J. (2020). Detecting accounting fraud in publicly traded U.S. firms using a machine learning approach. Journal of Accounting Research, 58(1), 199–235. https://doi.org/10.1111/1475 679X.12292

[3] Bhimani, A., & Willcocks, L. (2014). Digitisation, ‘Big Data’ and the transformation of accounting information. Accounting and Business Research, 44(4), 469–490. https://doi.org/10.1080/00014788.2014.910051

[4] Cao, M., Chychyla, R., & Stewart, T. (2015). Big data analytics in financial statement audits. Accounting Horizons, 29(2), 423–429. https://doi.org/10.2308/acch 51068

[5] Krahel, J. P., & Titera, W. R. (2015). Consequences of big data and formalization on accounting and auditing standards. Accounting Horizons, 29(2), 409–422. https://doi.org/10.2308/acch 51065

[6] Nissim, D. (2022). Big data, accounting information, and valuation. The Journal of Finance and Data Science, 8, 69–85. https://doi.org/10.1016/j.jfds.2022.04.003

[7] Saleh, I., Marei, Y., Ayoush, M., & Abu Afifa, M. M. (2023). Big data analytics and financial reporting quality: Qualitative evidence from Canada. Journal of Financial Reporting and Accounting, 21(1), 83–104. https://doi.org/10.1108/JFRA 12 2021 0489

[8] Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2015). Big data in accounting: An overview. Accounting Horizons, 29(2), 381–396. https://doi.org/10.2308/acch 51071

[9] Warren, J. D., Jr., Moffitt, K. C., & Byrnes, P. (2015). How big data will change accounting. Accounting Horizons, 29(2), 397–407. https://doi.org/10.2308/acch 51069

[10] Yoon, K., Hoogduin, L., & Zhang, L. (2015). Big data as complementary audit evidence. Accounting Horizons, 29(2), 431–438. https://doi.org/10.2308/acch 51076