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Audit Analytics - Data Science for the Accounting Profession (Paperback, 1st ed. 2020)
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Audit Analytics - Data Science for the Accounting Profession (Paperback, 1st ed. 2020)
Series: Use R!
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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 the world. This book is
designed to meet the increasing need of audit 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) for listed
corporations. These represent the benchmark auditing procedures for
specialized audits, such as internal, governmental, and attestation
audits. Using R and RStudio, the book 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.
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