Audit Analytics
Data Science for the Accounting Profession
Authors: Westland, J. Christopher
Free Preview- 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
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- About this book
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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 of audit 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.
- About the authors
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J. Christopher Westland is a professor in the Department of Information & Decision Sciences at the University of Illinois, Chicago. He has professional experience in the US as a certified public accountant and in the US, Europe, Latin America, and Asia as a consultant in technology law. He is the editor in chief of Electronic Commerce Research (Springer). Dr. Westland's recent publications include Global Innovation Management, 2nd Edition (Palgrave Macmillan 2017), Structural Equation Modeling (Springer 2015), and Red Wired: China's Internet Revolution (2010).
- Table of contents (13 chapters)
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Fundamentals of Auditing Financial Reports
Pages 1-18
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Foundations of Audit Analytics
Pages 19-39
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Analysis of Accounting Transactions
Pages 41-61
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Risk Assessment and Planning
Pages 63-86
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Analytical Review: Technical Analysis
Pages 87-112
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Table of contents (13 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Audit Analytics
- Book Subtitle
- Data Science for the Accounting Profession
- Authors
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- J. Christopher Westland
- Series Title
- Use R!
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-49091-1
- DOI
- 10.1007/978-3-030-49091-1
- Softcover ISBN
- 978-3-030-49090-4
- Series ISSN
- 2197-5736
- Edition Number
- 1
- Number of Pages
- XIV, 344
- Number of Illustrations
- 10 b/w illustrations
- Topics
