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020 _a9783031474644
_9978-3-031-47464-4
024 7 _a10.1007/978-3-031-47464-4
_2doi
050 4 _aQA276-280
072 7 _aPBT
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072 7 _aK
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072 7 _aBUS061000
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072 7 _aPBT
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_2thema
100 1 _aWestland, J. Christopher.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_974727
245 1 0 _aAudit Analytics
_h[electronic resource] :
_bData Science for the Accounting Profession /
_cby J. Christopher Westland.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXIV, 470 p. 100 illus., 57 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUse R!,
_x2197-5744
505 0 _a1. 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.
520 _aThis 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 edition includes 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.
650 0 _aStatistics .
_965982
650 0 _aAccounting.
_957622
650 0 _aComputer science
_xMathematics.
_964041
650 0 _aMathematical statistics.
_967233
650 0 _aMathematical statistics
_xData processing.
_964750
650 1 4 _aStatistics in Business, Management, Economics, Finance, Insurance.
_969738
650 2 4 _aAccounting.
_957622
650 2 4 _aFinancial Accounting.
_957570
650 2 4 _aProbability and Statistics in Computer Science.
_967234
650 2 4 _aStatistics and Computing.
_966446
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031474637
776 0 8 _iPrinted edition:
_z9783031474651
830 0 _aUse R!,
_x2197-5744
_974728
856 4 0 _uhttps://doi.org/10.1007/978-3-031-47464-4
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c58944
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