Data Analytics for Internal Auditors: 1st Edition (Hardback) book cover

Data Analytics for Internal Auditors

1st Edition

By Richard E. Cascarino

Auerbach Publications

418 pages | 37 B/W Illus.

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Hardback: 9781498737142
pub: 2017-03-15
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eBook (VitalSource) : 9781315369532
pub: 2017-03-16
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There are many webinars and training courses on Data Analytics for Internal Auditors, but no handbook written from the practitioner’s viewpoint covering not only the need and the theory, but a practical hands-on approach to conducting Data Analytics. The spread of IT systems makes it necessary that auditors as well as management have the ability to examine high volumes of data and transactions to determine patterns and trends. The increasing need to continuously monitor and audit IT systems has created an imperative for the effective use of appropriate data mining tools. This book takes an auditor from a zero base to an ability to professionally analyze corporate data seeking anomalies.

Table of Contents

Introduction to Data Analysis. Understanding Sampling. Judgmental vs Statistical Sampling. Probability theory in Data Analysis. Types of Evidence. Population Analysis. Correlations and Regressions. Conducting the Audit. Obtaining Information from IT Systems for Analysis. Use of Computer Assisted Audit Techniques. Analysis of Big Data. Results Analysis and Validation. Root Cause Analysis. Data Analysis and Continuous Monitoring. Continuous Auditing. Financial Analysis. Excel and Data Analysis. ACL and Data Analysis. IDEA and Data Analysis. Analysis Reporting.

About the Series

Internal Audit and IT Audit

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Subject Categories

BISAC Subject Codes/Headings:
BUSINESS & ECONOMICS / Management Science
COMPUTERS / Database Management / Data Mining
COMPUTERS / Security / General