Research and Implementation of Intelligent Financial Audit System Based on Data Mining and Cloud Computing

Junhong Gao, Yuanxing Zhao, Xiu Wang
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Abstract

The application and integration of mega data and cloud accounting technology not only changes the mode of enterprise accounting informatization construction, but also improves and promotes the traditional audit work. In the mega data environment, enterprise business processes are gradually increasing, and structured, unstructured and semi-structured data are becoming increasingly complex. It is difficult for a single financial data to effectively reflect the operational status of an enterprise, and it is urgent for auditing to comprehensively and thoroughly analyze the actual situation of an enterprise by comprehensively utilizing multiple data. Under the background of cloud computing as the foundation and mega data as the business engine, the content, mode and risk of traditional audit have changed, and an innovative model of "cloud audit" for mega data has emerged. This paper analyzes the impact of mega data and cloud accounting technology on audit from audit scope, audit data, audit risk, audit technology and auditors, establishes an audit implementation framework based on cloud accounting in mega data environment, and expounds the audit business development process under this framework.
基于数据挖掘和云计算的智能财务审计系统的研究与实现
大数据和云会计技术的应用与融合,不仅改变了企业会计信息化建设的模式,也对传统的审计工作进行了改进和促进。在大数据环境下,企业业务流程逐渐增多,结构化、非结构化、半结构化数据日趋复杂。单一的财务数据很难有效地反映企业的经营状况,综合利用多种数据全面深入地分析企业的实际情况是审计工作的迫切需要。在以云计算为基础、大数据为业务引擎的背景下,传统审计的内容、模式和风险发生了变化,大数据“云审计”的创新模式应运而生。本文从审计范围、审计数据、审计风险、审计技术、审计人员等方面分析了大数据和云会计技术对审计的影响,建立了大数据环境下基于云会计的审计实施框架,并阐述了该框架下的审计业务发展过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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