Articles liés à Audit Analytics: Data Science for the Accounting Profession
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- ÉditeurSpringer International Publishing AG
- Date d'édition2024
- ISBN 10 3031474635
- ISBN 13 9783031474637
- ReliureRelié
- Numéro d'édition2
- Nombre de pages470
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Audit Analytics
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Springer, Berlin, Springer International Publishing, Springer
(2024)
ISBN 10 : 3031474635
ISBN 13 : 9783031474637
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Description du livre Buch. Etat : 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. 470 pp. Englisch. N° de réf. du vendeur 9783031474637
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Audit Analytics: Data Science for the Accounting Profession (Use R!)
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Springer
(2024)
ISBN 10 : 3031474635
ISBN 13 : 9783031474637
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Description du livre Etat : New. Book is in NEW condition. 2.91. N° de réf. du vendeur 3031474635-2-1
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Audit Analytics: Data Science for the Accounting Profession (Use R!)
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Springer
(2024)
ISBN 10 : 3031474635
ISBN 13 : 9783031474637
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Description du livre Etat : New. New! This book is in the same immaculate condition as when it was published 2.91. N° de réf. du vendeur 353-3031474635-new
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Audit Analytics : Data Science for the Accounting Profession
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Springer
(2024)
ISBN 10 : 3031474635
ISBN 13 : 9783031474637
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Description du livre Etat : New. N° de réf. du vendeur 47095551-n
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Audit Analytics : Data Science for the Accounting Profession
Edité par
Springer International Publishing
(2024)
ISBN 10 : 3031474635
ISBN 13 : 9783031474637
Neuf
Couverture rigide
Quantité disponible : 1
Vendeur :
Evaluation vendeur
Description du livre Buch. Etat : 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. N° de réf. du vendeur 9783031474637
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EUR 90,94
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Audit Analytics: Data Science for the Accounting Profession (Use R!)
Edité par
Springer
(2024)
ISBN 10 : 3031474635
ISBN 13 : 9783031474637
Neuf
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Description du livre Etat : New. N° de réf. du vendeur I-9783031474637
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Audit Analytics
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Springer International Publishing
(2024)
ISBN 10 : 3031474635
ISBN 13 : 9783031474637
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Description du livre Etat : 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 . N° de réf. du vendeur 1128556338
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Audit Analytics (Hardcover)
Edité par
Springer International Publishing AG, Cham
(2024)
ISBN 10 : 3031474635
ISBN 13 : 9783031474637
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Description du livre Hardcover. Etat : new. Hardcover. 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 firms dataparticularly in the case of finance, software, insurance and biotech firmscomprises 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 edition includes updated code and test. Machine learning, AI, and SECs 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 AICPAs programs, in the near future. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783031474637
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Audit Analytics: Data Science for the Accounting Profession
Edité par
Springer
(2024)
ISBN 10 : 3031474635
ISBN 13 : 9783031474637
Neuf
Couverture rigide
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Description du livre Hardcover. Etat : Brand New. 2nd edition. 484 pages. 10.98x8.27x11.50 inches. In Stock. N° de réf. du vendeur x-3031474635
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Audit Analytics : Data Science for the Accounting Profession
Edité par
Springer
(2024)
ISBN 10 : 3031474635
ISBN 13 : 9783031474637
Neuf
Couverture rigide
Quantité disponible : 5
Vendeur :
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Description du livre Etat : New. N° de réf. du vendeur 47095551-n
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