Audit Analytics : Data Science for the Accounting Profession. 1st ed. 2020
- 種類:
- 電子ブック
- 責任表示:
- by J. Christopher Westland
- 出版情報:
- Cham : Springer International Publishing : Imprint: Springer, 2020
- 著者名:
- シリーズ名:
- Use R! ;
- ISBN:
- 9783030490911 [3030490912]
- 注記:
- 1. Fundamentals of Auditing Financial Statements -- 2. Foundations of Audit Analytics -- 3. Analysis of Accounting Transactions -- 4. Risk Assessment and Planning -- 5. Analytical Review: Technical Analysis -- 6. Analytical Review: Intelligence Scanning -- 7. Design of Audit Programs -- 8. Interim Compliance Tests -- 9. Substantive Tests -- 10. Sarbanes-Oxley Engagements -- 11. Blockchains, Cybercrime and Forensics -- 12. Special Engagements: Forecasts and Valuation -- 13. Simulated Transactions for Auditing Service Organizations.
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 - ローカル注記:
- 岐阜大学構成員専用E-BOOKS (Gifu University members only)
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