Titlebook: Audit Analytics; Data Science for the J. Christopher Westland Book 20201st edition The Editor(s) (if applicable) and The Author(s), under e

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書目名稱Audit Analytics影響因子(影響力)




書目名稱Audit Analytics影響因子(影響力)學(xué)科排名




書目名稱Audit Analytics網(wǎng)絡(luò)公開度




書目名稱Audit Analytics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Audit Analytics被引頻次




書目名稱Audit Analytics被引頻次學(xué)科排名




書目名稱Audit Analytics年度引用




書目名稱Audit Analytics年度引用學(xué)科排名




書目名稱Audit Analytics讀者反饋




書目名稱Audit Analytics讀者反饋學(xué)科排名

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Book 20201st editionn business processes around the world. This book is designed to meet the increasing need ofaudit 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) fo

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Galloping Instability to Chaos of Cablesampling and computer tools to conduct statistical samples and opinions based on them are an integral part of modern auditing. This chapter surveys the state of the profession and what the twenty-first century auditor needs to know.

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Fundamentals of Auditing Financial Reports,ampling and computer tools to conduct statistical samples and opinions based on them are an integral part of modern auditing. This chapter surveys the state of the profession and what the twenty-first century auditor needs to know.

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Analytical Review: Intelligence Scanning,telligence. The auditor who does not scan for such client and industry intelligence both increases the cost of auditing, and can be considered negligent in not investigating all available information about the financial health of their client.

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2197-5736 build a risk assessment matrix that informs the conduct of .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 f

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A Quadratic Nonlinear Oscillator,scientific basis for audit decisions underlying the auditor’s opinion. Effective legal defense of audit methods is predicated on data analytics and statistical methods. This chapter summarizes the subset of R capabilities that are germane to an audit.

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