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Titlebook: Audit Analytics; Data Science for the J. Christopher Westland Book 2024Latest edition The Editor(s) (if applicable) and The Author(s), unde

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發(fā)表于 2025-3-21 18:08:21 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Audit Analytics
期刊簡(jiǎn)稱Data Science for the
影響因子2023J. Christopher Westland
視頻videohttp://file.papertrans.cn/165/164997/164997.mp4
發(fā)行地址Demonstrates how to build a risk assessment matrix that informs the conduct of a cost-effective audit program.Presents technical material on the application of modern data analytics.Analyzes evidence
學(xué)科分類Use R!
圖書封面Titlebook: Audit Analytics; Data Science for the J. Christopher Westland Book 2024Latest edition The Editor(s) (if applicable) and The Author(s), unde
影響因子.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
Pindex Book 2024Latest edition
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Foundations of Audit Analytics, language for analytics, and offers many features that reduce the cost of data acquisition, preparation, exploration, and summarization. It provides a scientific basis for audit decisions underlying the auditor’s opinion. Effective legal defense of audit methods is predicated on data analytics and s
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Analytical Review: Technical Analysis,a. They are used in all stages of the audit including planning, substantive testing, and final review stage. This chapter surveys a range of R packages that ease technical analysis and data collection tasks in analytical review.
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Analytical Review: Intelligence Scanning,h information were spotty, unreliable, and scarce, and that, indeed, was considered a prime reason for markets needing annual, audited financial statements. Today, there are numerous social networks, news, and discussion boards that offer both raw and curated, streaming sources of useful business in
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