Drivers of the Use and Facilitators and Obstacles of the Evolution of Big Data by the Audit Profession

Author:

Alles Michael G.1

Affiliation:

1. Michael G. Alles is an Associate Professor at Rutgers, The State University of New Jersey, Newark.

Abstract

SYNOPSIS Big Data is one of the most important developments in management practice today, with McKinsey Global Institute (2011) arguing that it will fundamentally change business. Forbes (2013) states that “the market for Big Data will reach $16.1 billion in 2014, growing 6 times faster than the overall information technology (IT) market.” Given the growing significance of Big Data as a business tool, this paper considers the extent to which Big Data will be embraced by the audit profession and how that usage will evolve over time. I put forward the hypothesis that auditors cannot stray too far from the practices of their clients since their credibility with and respect of those clients are the basis of the value added that they provide. Hence, if Big Data becomes an essential business tool, then inevitably it will have the same impact on auditing, albeit, perhaps later and with a more muted reaction. Analysis also indicates that American and international auditing standards, technological advances, and market forces are some of the facilitators and obstacles that will determine the use of Big Data by auditors and that will shape how that usage will evolve over time.

Publisher

American Accounting Association

Subject

Accounting

Reference27 articles.

1. Putting continuous auditing theory into practice: Lessons from two pilot implementations;Alles;Journal of Information Systems,2008

2. Feasibility and economics of continuous assurance;Alles;Auditing: A Journal of Practice & Theory,2002

3. Alles, M., and G. Gray. 2014. A Framework for Analyzing the Role of Big Data in Auditing: A Synthesis of the Literature. Working paper, Rutgers Business School.

4. Alles, M., and M. A. Vasarhelyi. 2014. Auditing Big Data: Extending the Audit Data Standard to Add Structure to Unstructured Data to Enhance Auditability. Working paper, Rutgers Business School.

5. An;Alles;Analysis of the Design and Impact of the AICPA Audit Data Standard (ADS),2014

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