Big Data as Complementary Audit Evidence-Reference-Cited by-同舟云学术

Big Data as Complementary Audit Evidence

Published:2015-06-01 Issue:2 Volume:29 Page:431-438
ISSN:1558-7975
Container-title:Accounting Horizons
language:en
Short-container-title:

Author:

Yoon Kyunghee¹,Hoogduin Lucas¹,Zhang Li¹

Affiliation:

1. Kyunghee Yoon is a Ph.D. student and Li Zhang is an Assistant Professor at Rutgers, The State University of New Jersey, Newark, and Lucas Hoogduin is a senior manager with KPMG LLP.

Abstract

SYNOPSIS In this paper we argue for the use of Big Data as complementary audit evidence. We evaluate the applicability of Big Data using the audit evidence criteria framework and provide cost-benefit analysis for sufficiency, reliability, and relevance considerations. Critical challenges, including integration with traditional audit evidence, information transfer issues, and information privacy protection, are discussed and possible solutions are provided.

Publisher

American Accounting Association

Subject

Accounting

Link

http://meridian.allenpress.com/accounting-horizons/article-pdf/29/2/431/1592988/acch-51076.pdf

Reference40 articles.

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3. American Institute of Certified Public Accountants (AICPA). 2002. Consideration of Fraud in a Financial Statement Audit. Statement on Auditing Standards No. 99. New York, NY: AICPA.

4. American Institute of Certified Public Accountants (AICPA). 2004. Audit Evidence. Statement on Auditing Standards No. 106. New York, NY: AICPA.

5. American Institute of Certified Public Accountants (AICPA). 2007. Audit Risk and Materiality in Conducting an Audit. Statement on Auditing Standards No. 107. New York, NY: AICPA.

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