Michael Alles Glen Gray Rutgers Business School

Michael Alles Glen Gray Rutgers Business School
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Michael Alles Glen Gray Rutgers Business School Cal State Northridge The Marketing by the Big 4 of Big Data Analytics in the External Audit: Evidence and Consequences 1 Overview of the presentation This paper aims to make accounting

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Michael Alles Glen Gray
Rutgers Business School Cal State Northridge The Marketing by the Big 4 of Big Data Analytics in the External Audit: Evidence and Consequences 1<br>
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Overview of the presentation This paper aims to make accounting researchers aware of the radically new ways in which the Big 4 audit firms are marketing their audit services and how this will necessitate a fundamental rethink of what an audit is and how it is sold and consumed.
What is at stake is the perception of what an audit provides to a client and how it is regulated and undertaken—and taught and researched.
Rather than the traditional focus on compliance, audits are being advertised as adding value and insight to the audit client through the application of technology-enabled Big Data Analytics (BDA). 2<br>
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What is Big Data Analytics (BDA)? IBM: “Big data analytics is the use of advanced analytic techniques against very large, diverse big data sets that include structured, semi-structured, and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. With big data analytics, you can ultimately fuel better and faster decision-making, modeling and predicting of future outcomes, and enhanced business intelligence.”
When applied to the external audit, BDA is a technology-enabled methodology to analyze large amounts of both financial and non-financial data to detect patterns, anomalies, insights, and exceptions. 3<br>