大数据背景下企业审计风险分析与防范措施研究——以天沃科技为例
Research on Enterprise Audit Risk Analysis and Preventive Measures in the Context of Big Data—A Case Study of Tianwo Technology
摘要: 在大数据时代,企业的经营管理模式发生了深刻变革,其审计环境、审计方法及审计范围也随之调整。企业传统的审计模式面临着诸多的挑战,审计风险呈现出新的特征与表现形式。文章首先对相关概念进行了界定,接着介绍了天沃科技的基本情况,重点分析了其在数据安全、数据质量、技术适配、人员能力及内部控制等几个方面的审计风险,并探究审计风险的成因。最后针对性地提出风险防范措施,希望能够提高天沃科技在大数据环境下的审计风险管控能力,为同类型的企业提供理论参考与实践借鉴。
Abstract: In the era of big data, corporate management and operational models have undergone profound transformations, leading to corresponding adjustments in their audit environments, methodologies, and scopes. Traditional corporate audit models now face numerous challenges, with audit risks exhibiting new characteristics and manifestations. This paper begins by defining relevant concepts, then introduces the basic profile of Tianwo Technology. It focuses on analyzing audit risks in areas such as data security, data quality, technical compatibility, personnel capabilities, and internal controls, while exploring the root causes of these risks. Finally, targeted risk prevention measures are proposed, aiming to enhance Tianwo Technology’s audit risk management capabilities in the big data environment and provide theoretical and practical references for similar enterprises.
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