基于数据审计模式的新零售行业审计风险分析

Audit risk analysis of the new retail industry based on the data audit model

本文对新零售行业中数据分析与决策风险以及数据共享风险进行了研究,分析了相关风险的原因和影响,并提出了相应的防范策略。研究发现,数据安全与隐私保护、数据准确性与完整性、数据分析与决策质量以及数据共享与合规性管理是新零售行业中需要重点关注并采取措施的方面。本文总结了研究成果,并对未来研究方向进行了展望。研究的局限性在于缺乏实证研究和案例分析的支持,样本数量和范围有限,未对具体的数据审计模式和工具进行深入研究。未来的研究可以进一步深化数据安全和隐私保护研究、探索数据准确性和完整性的管理措施、研究数据分析和决策的方法和模型,并进一步研究数据共享和合规性管理的机制和方法。

This paper studies the risks of data analysis and decision-making and data sharing in the new retail industry,analyzes the causes and impacts of related risks,and proposes corresponding prevention strategies.The study finds that data security and privacy protection,data accuracy and integrity,data analysis and decision-making quality,and data sharing and compliance management are the aspects that need to be focused on and taken measures in the new retail industry.In this paper,the research results are summarized and the future research directions are prospected.The limitations of the study were the lack of empirical studies and case studies,the limited sample size and scope,and the lack of in-depth research on specific data audit models and tools.Future research can further deepen the research on data security and privacy protection,explore the management measures for data accuracy and integrity,study the methods and models of data analysis and decision-making,and further study the mechanisms and methods of data sharing and compliance management.