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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Foundations of Audit Analytics,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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Analysis of Accounting Transactions,al, and even counterproductive in auditing. This chapter delineates the idiosyncrasies of accounting transactions and summaries, and describes tools to cost-effectively prepare and render decisions from client accounting data.

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Risk Assessment and Planning,of accounting operations related to the rendering of the audit opinion—i.e., on whether the accounts have material error when GAAP has been consistently applied. This chapter delineates construction of the .—a collaborative “l(fā)earning” worksheet to support a scientific foundation for audit scope, pla

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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