Overview
- Uses R and RStudio software to plan, implement, and render an audit opinion that is legally and statistically defensible
- Demonstrates how to build a risk assessment matrix that informs the conduct of a cost-effective audit program
- Uses R and RStudio software to analyze, extract, and manipulate accounting data
- Analyzes evidence with R and RStudio software to construct the internal control letter and Sarbanes-Oxley report
- Includes supplementary material: sn.pub/extras
Part of the book series: Use R! (USE R)
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Table of contents (13 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Today, information technology plays a pivotal role in financial control and audit: most financial data is now digitally recorded and dispersed among servers, clouds and networks over which the audited firm has no control. Additionally, a firm’s data—particularly in the case of finance, software, insurance and biotech firms— comprises most of the audited value of the firm. Financial audits are critical mechanisms for ensuring the integrity of information systems and the reporting of organizational finances. They help avoid the abuses that led to passage of legislation such as the Foreign Corrupt Practices Act (1977), and the Sarbanes-Oxley Act (2002).
Audit effectiveness has declined over the past two decades as auditor skillsets have failed to keep up with advances in information technology. Information and communication technology lie at the core of commerce today and are integrated in business processes around the world. This book is designed to meet the increasing need ofaudit professionals to understand information technology and the controls required to manage it. The material included focuses on the requirements for annual Securities and Exchange Commission audits (10-K) for listed corporations. These represent the benchmark auditing procedures for specialized audits, such as internal, governmental, and attestation audits.
Using R and RStudio, the book demonstrates how to render an audit opinion that is legally and statistically defensible; analyze, extract, and manipulate accounting data; build a risk assessment matrix to inform the conduct of a cost-effective audit program; and more.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Audit Analytics
Book Subtitle: Data Science for the Accounting Profession
Authors: J. Christopher Westland
Series Title: Use R!
DOI: https://doi.org/10.1007/978-3-030-49091-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-49090-4Published: 21 November 2020
eBook ISBN: 978-3-030-49091-1Published: 20 November 2020
Series ISSN: 2197-5736
Series E-ISSN: 2197-5744
Edition Number: 1
Number of Pages: XIV, 344
Number of Illustrations: 10 b/w illustrations
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Accounting/Auditing, Financial Accounting, Probability and Statistics in Computer Science, Statistics and Computing/Statistics Programs