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Data analytics for internal auditors / by Richard E. Cascarino

By: Cascarino, Richard E.
Publisher: Boca Raton, F.L. : CRC Press, 2017Description: xxii, 417 p. : ill. ; electronic resource.ISBN: 9781498737142.Subject(s): Internal auditing | Forensic accounting | Information technology | Computers | Analytics | Data | SamplingOnline resources: Download as an eBook
Contents:
Introduction to data analysis -- Understanding sampling -- Judgmental versus statistical sampling -- Probability theory in data analysis -- Types of evidence -- Population analysis -- Correlations, regressions, and other analyses -- Conducting the audit -- Obtaining information from it systems for analysis -- Use of computer-assisted audit techniques -- Analysis of big data -- Results analysis and validation -- Fraud detection using data analysis -- Root cause analysis -- Data analysis and continuous monitoring -- Continuous auditing -- Financial analysis -- Excel and data analysis -- ACL and data analysis -- IDEA and data analysis -- SAS and data analysis -- Analysis reporting -- Data visualization and presentation. APPENDICES: ACL usage -- IDEA usage -- Risk assessment - a working example.
Summary: Provides a practical reference guide for internal auditors and fraud examiners on how to use data analytics in the examination of large volumes of data and transactions.
Item type Home library Call number URL Status Notes Date due Item reserves
Book Book International
EBL Ebook (Browse shelf) Link to resource eBook Available as an ebook here
Total holds: 0

Introduction to data analysis -- Understanding sampling -- Judgmental versus statistical sampling -- Probability theory in data analysis -- Types of evidence -- Population analysis -- Correlations, regressions, and other analyses -- Conducting the audit -- Obtaining information from it systems for analysis -- Use of computer-assisted audit techniques -- Analysis of big data -- Results analysis and validation -- Fraud detection using data analysis -- Root cause analysis -- Data analysis and continuous monitoring -- Continuous auditing -- Financial analysis -- Excel and data analysis -- ACL and data analysis -- IDEA and data analysis -- SAS and data analysis -- Analysis reporting -- Data visualization and presentation. APPENDICES: ACL usage -- IDEA usage -- Risk assessment - a working example.

Provides a practical reference guide for internal auditors and fraud examiners on how to use data analytics in the examination of large volumes of data and transactions.

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