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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2197-5736 the application of modern data analytics.Analyzes evidence .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-effe

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Engineering Materials and Processes 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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https://doi.org/10.1007/1-84628-359-0al, 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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Integrated Circuits and Systemsly applied. This chapter delineates construction of the risk assessment matrix-a collaborative “l(fā)earning” worksheet to support a scientific foundation for audit scope, planning, and budgeting prior to initiation of audit field tests.

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