Audit analytics : data science for the accounting profession
dc.contributor.author | Westland, J. Christopher | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-3-030-49091-1 | |
dc.identifier.uri | https://thuvienso.hoasen.edu.vn/handle/123456789/12339 | |
dc.description.abstract | 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. | |
dc.format | xiv, 344 p. : ill. | |
dc.language.iso | en | |
dc.publisher | Springer | |
dc.relation.ispartofseries | Use R! | |
dc.subject | Accounting | |
dc.subject | Auditing | |
dc.subject | Financial services industry | |
dc.title | Audit analytics : data science for the accounting profession | |
dc.type | Book |