大数据时代对会计和审计的影响研究

Yuxiang Sun, Jingyi Li, Mengdie Lu, Zongying Guo
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引用次数: 0

摘要

大数据彻底改变了会计和审计工作,提供了深刻的见解,但也带来了数据隐私和安全等挑战。专业人员必须适应这些变化,利用人工智能和机器学习进行高效的数据分析和异常检测。克服这些挑战的关键在于增强分析工具、持续学习和行业合作。通过解决这些领域的问题,会计和审计领域可以利用大数据的潜力,同时确保财务报告的准确性、透明度和完整性。关键词:大数据大数据、会计、审计、数据隐私、人工智能、机器学习、透明度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of the Impact of the Big Data Era on Accounting and Auditing
Big data revolutionizes accounting and auditing, offering deep insights but also introducing challenges like data privacy and security. With data from IoT, social media, and transactions, traditional practices are evolving. Professionals must adapt to these changes, utilizing AI and machine learning for efficient data analysis and anomaly detection. Key to overcoming these challenges are enhanced analytics tools, continuous learning, and industry collaboration. By addressing these areas, the accounting and auditing fields can harness big data's potential while ensuring accuracy, transparency, and integrity in financial reporting. Keywords: Big Data, Accounting, Audit, Data Privacy, AI, Machine Learning, Transparency.
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