Items related to Audit Analytics: Data Science for the Accounting Profession...
- PublisherSpringer
- Publication date2024
- ISBN 10 3031474635
- ISBN 13 9783031474637
- BindingHardcover
- LanguageEnglish
- Edition number2
- Number of pages484
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Audit Analytics
Seller: Basi6 International, Irving, TX, U.S.A.
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Audit Analytics : Data Science for the Accounting Profession
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Audit Analytics: Data Science for the Accounting Profession (Use R!)
Seller: Books Puddle, New York, NY, U.S.A.
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Condition: New. 2nd ed. 2024 edition NO-PA16APR2015-KAP. Seller Inventory # 26399312695
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Audit Analytics: Data Science for the Accounting Profession (Use R!)
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Audit Analytics : Data Science for the Accounting Profession
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Audit Analytics : Data Science for the Accounting Profession
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Audit Analytics : Data Science for the Accounting Profession
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Audit Analytics
ISBN 10: 3031474635
ISBN 13: 9783031474637
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book, using R and RStudio, 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. 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. This 2nd editionincludes updated code and test. Machine learning, AI, and SEC's EDGAR data are also, improved and updated.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. Many examples reflect the focus of the 2024 CPA exam, and the data analytics-machine learning approach will be central to the AICPA's programs, in the near future. 484 pp. Englisch. Seller Inventory # 9783031474637
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Audit Analytics
Published by
Springer International Publishing, 2024
ISBN 10: 3031474635
ISBN 13: 9783031474637
New
Hardcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Demonstrates how to build a risk assessment matrix that informs the conduct of a cost-effective audit programPresents technical material on the application of modern data analytics Analyzes evidence with R and RStudio software to construct . Seller Inventory # 1128556338
Quantity: Over 20 available
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Audit Analytics : Data Science for the Accounting Profession
Published by
Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031474635
ISBN 13: 9783031474637
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, using R and RStudio, 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. 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. This 2nd editionincludes updated code and test. Machine learning, AI, and SEC's EDGAR data are also, improved and updated.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. Many examples reflect the focus of the 2024 CPA exam, and the data analytics-machine learning approach will be central to the AICPA's programs, in the near future. Seller Inventory # 9783031474637
Quantity: 1 available