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Research on Application of Big Data Technology in University Internal Auditing

机译：大数据技术在大学内部审计中的应用研究

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Taking information technology means and using big data thinking to improve the quality and efficiency of audit has become the development trend of China's audit practice. The paper analyzes the problems existing in the audit of economic responsibility in colleges and universities, such as weak audit power, backward audit methods and tools, and weak audit independence. With the help of big data thinking and advanced technology, the system is divided into three parts: system and business management, data collection, project implementation. The five modules of audit analysis put forward the information system structure and operation mechanism of university economic responsibility auditing in the big data era. It provides a reference for the new-type information tools such as big data and cloud computing.
机译：采取信息技术手段和利用大数据思考，提高审计的质量和效率已成为中国审计实践的发展趋势。本文分析了高校经济责任审计存在的问题，如弱势审计权力，向后审计方法和工具，审计独立疲软。借助大数据思考和先进技术，该系统分为三部分：系统和业务管理，数据收集，项目实施。审计分析的五个模块提出了大数据时代大学经济责任审计的信息系统结构和运作机制。它为新型信息工具提供了大数据和云计算提供的参考。

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