A Data Analysis and Efficiency Optimization of Audit System with Cloud Computing Technology

In order to further enhance the comprehensive ability of the data analysis efficiency optimization of the audit system, this research is based on cloud computing technology, establishes the massive data distribution model of the audit system data analysis activities, and comprehensively constructs the data analysis efficiency optimization and feedback response system of the audit system. The results of simulation experiments show that the proposed method can achieve the reasonable operation goal of data analysis and optimization strategy of the audit system by using cloud computing technology, but there are problems such as data redundancy in the early stage. Therefore, by refining the abnormal feature optimization of data analysis state and efficiency state of the audit system and detecting the error component, it can enhance the dynamic optimization of data analysis efficiency state and timeliness optimization, which proves that the method proposed in this study is excellent in performing data analysis, efficiency, detection and optimization response.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/icmnwc63764.2024.10872275
Primary Topic
Technology and Data Analysis
Type
article
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article

A Data Analysis and Efficiency Optimization of Audit System with Cloud Computing Technology

Chunkai Ding
Technology and Data Analysis
article

A Data Analysis and Efficiency Optimization of Audit System with Cloud Computing Technology

Chunkai Ding
article en

Abstract

In order to further enhance the comprehensive ability of the data analysis efficiency optimization of the audit system, this research is based on cloud computing technology, establishes the massive data distribution model of the audit system data analysis activities, and comprehensively constructs the data analysis efficiency optimization and feedback response system of the audit system. The results of simulation experiments show that the proposed method can achieve the reasonable operation goal of data analysis and optimization strategy of the audit system by using cloud computing technology, but there are problems such as data redundancy in the early stage. Therefore, by refining the abnormal feature optimization of data analysis state and efficiency state of the audit system and detecting the error component, it can enhance the dynamic optimization of data analysis efficiency state and timeliness optimization, which proves that the method proposed in this study is excellent in performing data analysis, efficiency, detection and optimization response.

Dongguan University of Technology (CN)
Openalex Percentile: Top 56%
Technology and Data Analysis
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