大数据环境下审计风险防范研究

Research on audit risk prevention in the context of big data

摘要

随着信息技术的飞速发展，大数据时代的到来使审计行业面临前所未有的机遇与挑战。海量数据的出现改变了传统审计模式，同时也带来了新的风险。本文深入分析了大数据环境下审计风险的特征变化，提出了基于大数据技术的风险防范体系构建方案，并探讨了风险防范策略的实施效果与持续改进路径。通过加强数据分析能力建设、完善行业标准规范以及借鉴国际经验等举措，审计行业可以更好地应对大数据时代的风险挑战，实现审计质量和效率的全面提升。

Abstract

With the rapid development of information technology, the advent of the era of big data has brought unprecedented opportunities and challenges to the audit industry. The advent of massive amounts of data has changed the traditional audit model, but it has also brought new risks. This paper deeply analyzes the characteristic changes of audit risk in the big data environment, proposes a risk prevention system construction scheme based on big data technology, and discusses the implementation effect and continuous improvement path of risk prevention strategy. By strengthening data analysis capabilities, improving industry standards and norms, and learning from international experience, the audit industry can better respond to the risks and challenges in the era of big data and achieve an overall improvement in audit quality and efficiency.

关键词

大数据审计 / 风险防范 / 数据分析 / 人工智能 / 区块链

Key words

big data audit / risk prevention / Data analysis / Artificial intelligence / Blockchain

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