大数据背景下企业内部审计策略优化研究

Research on Optimizing Internal Audit Strategies in Enterprises under the Background of Big Data

摘要: 在大数据技术迅速普及的时代，企业的运营环境与管理模式发生了深刻变革，这对企业内部审计工作提出了新的要求与挑战。本文围绕大数据背景下企业内部审计策略的优化展开研究，通过剖析大数据给企业内部审计带来的机遇与挑战，点明大数据在拓宽审计范围、提升审计效率、助力风险预警等方面的积极作用，同时指出其面临的技术成本高、专业人才匮乏等问题。进一步分析大数据对审计目标、内容等多方面的影响，并结合海澜集团等典型案例，从转变审计理念、搭建审计平台、优化审计流程、提升人员素质和强化数据安全等多个维度，提出具有针对性的内部审计策略优化方案，旨在为企业在大数据时代提升内部审计效能，增强风险防控能力，实现可持续发展提供参考。

Abstract: In the era of rapid popularization of big data technology, the operational environment and management mode of enterprises have undergone profound changes, which have put forward new requirements and challenges for the internal audit work of enterprises. This article focuses on the optimization of internal audit strategies in enterprises under the background of big data. By analyzing the opportunities and challenges that big data brings to internal audit, it points out the positive role of big data in expanding audit scope, improving audit efficiency, and assisting risk warning. At the same time, it points out the problems it faces, such as high technical costs and a shortage of professional talents. This paper further explores the multifaceted impacts of big data on audit objectives and content. By examining typical cases such as the Hailan Group, it proposes targeted optimization strategies for internal audit from several key dimensions, including transforming audit concepts, building audit platforms, optimizing audit processes, enhancing personnel quality, and strengthening data security. These strategies aim to provide enterprises with practical guidance to enhance internal audit effectiveness, strengthen risk prevention and control capabilities, and achieve sustainable development in the big data era.