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Big Data Analytics in Accounting

EasyChair Preprint 13725

13 pagesDate: July 1, 2024

Abstract

The rise of big data has significantly impacted the accounting profession, presenting both opportunities and challenges. Big data analytics offers accounting professionals the ability to unlock valuable insights from the vast amounts of structured and unstructured data available to organizations. This paper provides an overview of the applications of big data analytics in the field of accounting.

In the domain of financial reporting and analysis, big data analytics enables real-time financial reporting, predictive financial modeling, and advanced fraud detection and prevention. Within the auditing and assurance function, big data analytics facilitates continuous auditing, data-driven risk assessment, and anomaly detection. In management accounting, big data analytics supports more accurate budgeting and forecasting, cost analysis and optimization, and enhanced performance management.

Keyphrases: Auditing, Big Data Analytics, accounting profession, decision making, financial reporting

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:13725,
  author    = {Edwin Frank},
  title     = {Big Data Analytics in Accounting},
  howpublished = {EasyChair Preprint 13725},
  year      = {EasyChair, 2024}}
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