Study of the Impact of the Big Data Era on Accounting and Auditing

TL;DR

This paper explores how the advent of big data has transformed accounting and auditing by enabling deeper insights and efficiency, while also presenting challenges like privacy and security that require new tools and skills.

Contribution

It provides a comprehensive overview of the impact of big data on accounting and auditing, highlighting the need for new analytics tools and professional adaptation.

Findings

Big data enhances insights and efficiency in accounting and auditing.

Challenges include data privacy and security concerns.

AI and machine learning are key to modern data analysis.

Abstract

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.