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Analysis on the Transformation of University Auditing Mode Under the Environment of Big Data and Cloud Computing

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DOI: 10.23977/aduhe.2023.050206 | Downloads: 19 | Views: 523

Author(s)

Huifang Zheng 1

Affiliation(s)

1 Zhengzhou Information Technology Vocational College, Zhengzhou, 450003, Henan, China

Corresponding Author

Huifang Zheng

ABSTRACT

The advent of the era of big data and cloud computing has prompted great changes in many fields of society. Especially in my country's financial audit industry, the application of advanced technologies such as big data and cloud computing has promoted the quality of traditional audit work change. As far as university auditing is concerned, the original auditing mode has undergone important changes. Therefore, in order to ensure the quality of auditing work, the financial department of universities must take effective measures to strengthen the auditing effect. Based on the background of big data and cloud computing environment, this paper starts from the disadvantages of carrying out audit work in colleges and universities under the traditional audit mode, discusses the transformation needs of college audit work in the new environment, and finally proposes the transformation of college audit mode in the environment of big data and cloud computing action.

KEYWORDS

Big Data, Cloud Computing, Colleges and Universities, Audit Mode, Transformation

CITE THIS PAPER

Huifang Zheng , Analysis on the Transformation of University Auditing Mode Under the Environment of Big Data and Cloud Computing. Adult and Higher Education (2023) Vol. 5: 29-33. DOI: http://dx.doi.org/10.23977/aduhe.2023.050206.

REFERENCES

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[2] Lu W. Analysis on the transformation of university auditing mode in the environment of big data and cloud computing [J]. Global Market 2019; (11):93.
[3] Hu Z. Reflections on the Internal audit of colleges and universities in the big data environment [J]. China Economic and Trade Tribune 2018; (26):99-100.
[4] Pan C. Research on the transformation of university auditing mode in big data and cloud computing environment [J]. Audit Monthly 2017; 0(7):40-41.

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