Author(s)

Yijiao Fan ¹

Affiliation(s)

¹ JP Morgan, New York, 11101, USA

Corresponding Author

Yijiao Fan

ABSTRACT

This article deeply analyzes the current situation and challenges of internal auditing in commercial banks, especially unstructured data auditing, in big data technology. With the rapid development of information technology, the financial industry is undergoing profound changes. The widespread application of big data technology has brought unprecedented opportunities for risk management and internal auditing of commercial banks, but it is also accompanied by challenges such as complex data processing and increased difficulty in risk prevention and control. The internal audit of commercial banks has expanded from traditional financial statement audit to comprehensive audit in multiple fields such as internal control, asset quality, credit risk, etc. This article focuses on analyzing the problems in unstructured data auditing. It proposes optimization strategies based on the advantages of big data technology, aiming to improve audit efficiency and quality, form a unified standard, and promote the informatization process of auditing. Taking Bank A as an example, its rapidly developing internal audit is facing new challenges. The research results of this article have important reference value for optimizing internal audit processes and enhancing risk management capabilities. At the same time, it is pointed out that the informatization construction of internal audits in commercial banks in China still needs to be improved, and there are many problems. This article reviews the research on unstructured data audit methods, taking Bank A as an example. Through interviews and data analysis, the current status of unstructured data audit is summarized, optimization methods are proposed, and the necessity of big data technology for audit optimization is emphasized. It is pointed out that Bank A and the entire banking industry should attach importance to unstructured data audits, pay attention to technological innovation, and promote the development of audit informatization. However, research also has limitations, such as the need for practical testing of the effectiveness of optimization methods and continuous research to address technological updates. This article aims to provide innovative ideas and suggestions for the development of audit informationization in unstructured data auditing for commercial banks.

KEYWORDS

Big Data Audit, Unstructured Data, Internal Audit of Commercial Banks, Audit Informatization, Risk Management Optimization

CITE THIS PAPER

Yijiao Fan, Optimization Strategy and Implementation Effect Analysis of Unstructured Data Audit for Internal Audit of Commercial Banks in the Big Data Environment. Accounting, Auditing and Finance (2024) Vol. 5: 7-12. DOI: http://dx.doi.org/10.23977/accaf.2024.050302.

REFERENCES

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