ArticleOpen Access http://dx.doi.org/10.26855/jhass.2023.11.039
Internal Control Problems and Countermeasures Under the Background of Big Data
Yangguang Chen
1Philippine Christian University, Manila, Philippines.
2Lishui Vocational & Technical College, Lishui, Zhejiang, China.
*Corresponding author: Yangguang Chen
Published: December 25, 2023
Abstract
In recent years, with the integration and development of big data, Internet technology and the real economy, various new industries, new business forms and new models have sprung up, and the social and economic environment has also undergone great changes. It can be seen that the update and progress of digital technologies such as big data have promoted the development of the industry, but at the same time, it has also brought great challenges to the healthy development of various organizations in society. As the basis of all management mechanisms, internal control has also ushered in a new revolution because of the emergence of big data. Based on this, this paper analyzes the current situation of social internal control in the context of big data, explores the existing problems combined with the actual situation, and puts forward a series of improvement measures and optimization suggestions, in order to improve the efficiency of big data in internal control, and further promote the healthy and long-term development of the whole society.
Keyword
Big Data, Internal Control Problems, Countermeasures
References
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Copyright
© 2023 by the author(s).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited and is not modified or adapted.
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How to cite this paper
Internal Control Problems and Countermeasures Under the Background of Big Data
How to cite this paper: Yangguang Chen. (2023) Internal Control Problems and Countermeasures Under the Background of Big Data. Journal of Humanities, Arts and Social Science, 7(11), 2363-2366.
DOI: http://dx.doi.org/10.26855/jhass.2023.11.039