Authors: Yuxiang Sun, Jingyi Li, Mengdie Lu, Zongying Guo

Published on: March 11, 2024

Impact Score: 8.0

Arxiv code: Arxiv:2403.07180

Summary

• What is new: Emphasizes the intersection of big data with accounting and auditing, highlighting the importance of AI and machine learning for data analysis and anomaly detection.
• Why this is important: The introduction of big data in accounting and auditing presents data privacy and security challenges, along with the need for methodological evolution.
• What the research proposes: Adapting to big data by using AI and machine learning for efficient data analysis, enhancing analytics tools, promoting continuous learning, and fostering industry collaboration.
• Results: The proposed approach can ensure accuracy, transparency, and integrity in financial reporting while leveraging big data’s potential.

Technical Details

Technological frameworks used: nan

Models used: AI, Machine Learning

Data used: IoT, social media, transactions

Potential Impact

Accounting and auditing firms, financial institutions, technology providers specializing in analytics and security solutions

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