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Empirical Research on Internal Control Construction System of Accounting Costs in Power Enterprises Based on Big Data Perspective

机译:基于大数据视角的电力企业会计成本内部控制施工制度实证研究

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The research direction of the thesis is the research on the internal control evaluation strategy of power companies from the perspective of big data. Based on the five elements of internal control, the questionnaires are designed. The professional accountants responsible for internal audit control in power companies are investigated as questionnaires. Through the analysis of the survey results, big data processing and data relationship were established. It was found that the five elements of internal control are not highly valued in the accountant audit work of power companies. According to the control environment, risk assessment and control activities, the trend is decreasing, and the audit and other departments of the enterprise The communication between the two is not efficient, the internal supervision is weak, and the quality of financial information has a greater impact on internal control. It is concluded that accountants need to pay attention to the internal audit of power companies, strengthen the awareness of corporate audit risk prevention, improve the construction of auditing systems, and strengthen internal control in auditing activities to improve the quality and efficiency of internal audit control of power companies.
机译:本文的研究方向是从大数据的角度来看,电力公司的内部控制评估策略研究。根据内部控制的五个要素,设计问卷。负责电力公司内部审计控制的专业会计师被调查为调查问卷。通过分析调查结果,建立了大数据处理和数据关系。有人发现,电力公司会计审计工作中的内部控制的五个要素不受高度重视。根据控制环境,风险评估和控制活动,趋势正在减少,审计和其他部门的企业之间的沟通两者之间的沟通不高,内部监督较弱,金融信息质量更大对内部控制的影响。据悉,会计师需要注意电力公司的内部审计,加强对企业审计风险预防的认识,提高审计制度的建设,加强内部控制活动,提高内部审计控制的质量和效率电力公司。

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