scholarly journals Research on big data audit based on financial shared service model

Author(s):  
Jiang Hong ◽  
Zhichong Wang
2020 ◽  
Vol 39 (6) ◽  
pp. 8997-9005
Author(s):  
Linghan Li ◽  
Yan Feng ◽  
Lei Li

As the COVID-19 epidemic continues to spread, the government has managed to prevent people from gathering. The audit work can only be carried out through the network, which puts forward higher requirements for the accuracy and effectiveness of the audit work. Under the background of the continuous development of big data and other information technologies, big data audit has gained important technical support and played an increasingly important role. Units at all levels gradually attach importance to the enterprise management mode based on the financial sharing service mode. This paper analyzes the related problems of big data audit under the financial sharing service mode, involving big data flow, big data preprocessing, big data audit process and other issues, in order to provide useful reference for the implementation of big data audit by using the financial sharing service mode under the influence of COVID-19.


2021 ◽  
pp. 1-10
Author(s):  
Sai Jiang

With the rapid development of artificial intelligence and big data technology, the traditional audit method has been constantly impacted by big data. In the era of big data, enterprises actively explore and build a financial sharing service model, and through this model, build audit methods based on big data. In this paper, based on the financial sharing service model, we elaborate the preprocessing process of big data collection, clarity and storage, and build the simulation process framework of big data audit under the service model. Evaluation model is developed based on fuzzy analytic hierarchy process (AHP) and methodology for order estimation by similarity of solution. Finally, on the basis of the implementation process framework, the specific content of each link of big data audit is briefly given. Under the financial sharing service mode, it provides theoretical guidance and practical significance for the implementation of big data audit


2020 ◽  
Vol 2 (1) ◽  
pp. 9-18
Author(s):  
Yilin Bi ◽  
Yuxin Ouyang ◽  
Guang Sun ◽  
Peng Guo ◽  
Jianjun Zhang ◽  
...  

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