Study On The Application Of Big Data Technology In Improving The Audit Quality Of Zhongxing Hua CPA

With the development of information technology represented by big data and artificial intelligence,society is constantly moving towards the era of big data,and enterprises are digitally empowered for production and operation activities making more and more data information integrated in the Internet.In the current context of strong regulation of accounting firms in business,low project revenue and high competition in the industry,more and more firms are adopting the way of deliberately reducing the execution of important audit procedures to conduct audits,which has led to the successive exposure of such enterprises as Kangmei Pharmaceuticals,Swire Island and Beijing Culture to financial fraud in China in recent years,and the audit quality of China’s accounting firms has been questioned.In response,China has issued a series of policies and opinions to strengthen supervision,curb fraud and improve audit quality,as well as to increase the investigation and punishment of accounting firms for "inaction".Given this situation and the digital transformation of their target clients,CPA firms are overwhelmed by the complexity of the current business-related data using traditional audit methods.Therefore,only by integrating the two disciplines of big data and auditing,using new audit tools and methods,and shifting from traditional manual auditing to analysis using big data technology,can we accurately identify the risk of material misstatement in the financial statements of audited entities,respond to the audit accordingly,and improve the efficiency and quality of the audit.Based on this thesis combines domestic and international literature on factors affecting audit quality and the specific implementation path of big data technology in auditing,and uses risk-oriented audit theory,principal-agent theory and modern system theory as the cornerstone to explore the theoretical basis for promoting the application of big data technology in auditing.At the same time,we provide a detailed understanding of the basic situation of audit quality in Zhongxing Hua CPA firm,find out the aspects of audit quality that can be optimized in Zhongxing Hua firm based on IAASB audit quality framework,and explore the causes of problems from the elements of audit quality inputs,process,output and environment,and clarify the role of big data technology to optimize these problems.In order to solve these problems and improve audit quality,the role of big data technology in the audit work of Zhongxing Hua is clarified.Based on the above-mentioned ideas taking the audit project of Zhongxing Hua Firm on Shepherd Field as an example,the application strategy of big data technology in the audit work of the firm is proposed,starting from data collection and mining,data visualization,data pre-processing and storage,and data analysis,and then improving the elements of audit quality input,process,output and environment of Zhongxing Hua Firm.After that,the internal and external factors are analyzed and safeguards are proposed for actively promoting the application of big data technology in the audit work of Zhongxing Hua Firm.It is hoped that this thesis can provide experience for the application of big data technology in the audit work of Zhongxing Hua or other similar "waist" domestic firms,and effectively improve the audit quality of accounting firms in China.