Audit Analytics Data Science for the Accounting Profession /

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...

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Bibliografiske detaljer
Hovedforfatter:	Westland, J. Christopher (Author)
Institution som forfatter:	SpringerLink (Online service)
Format:	Electronisk eBog
Sprog:	engelsk
Udgivet:	Cham : Springer International Publishing : Imprint: Springer, 2024.
Udgivelse:	2nd ed. 2024.
Serier:	Use R!,
Fag:	Statistics . Accounting. Computer science > Mathematics. Mathematical statistics. Mathematical statistics > Data processing. Statistics in Business, Management, Economics, Finance, Insurance. Financial Accounting. Probability and Statistics in Computer Science. Statistics and Computing.
Online adgang:	https://doi.org/10.1007/978-3-031-47464-4
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Indholdsfortegnelse:

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.

Audit Analytics Data Science for the Accounting Profession /

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