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Data analytics for internal auditors / by Richard E. Cascarino.

By: Cascarino, Richard E [author.]Contributor(s): CRC PressMaterial type: Text

TextPublisher: Boca Raton, FL : CRC Press, an imprint of Auerbach Publications, 2017Edition: First editionDescription: 1 online resource (440 pages) : 37 illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9781315369532; 9781315369730Subject(s): Auditing, Internal | Electronic data processing -- AuditingAdditional physical formats: Print version: : No titleDDC classification: 657.458 LOC classification: HF5668 | .C373 2017Online resources: Click here to view.

Contents:

Abstract: 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.

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chapter 1 Introduction to Data Analysis -- chapter 2 Understanding Sampling -- chapter 3 Judgmental versus Statistical Sampling -- chapter 4 Probability Theory in Data Analysis -- chapter 5 Types of Evidence -- chapter 6 Population Analysis -- chapter 7 Correlations, Regressions, and�Other Analyses -- chapter 8 Conducting the Audit -- chapter 9 Obtaining Information from IT Systems for Analysis -- chapter 10 Use of Computer-Assisted Audit Techniques -- chapter 11 Analysis of Big Data -- chapter 12 Results Analysis and Validation -- chapter 13 Fraud Detection Using Data Analysis -- chapter 14 Root Cause Analysis -- chapter 15 Data Analysis and Continuous Monitoring -- chapter 16 Continuous Auditing -- chapter 17 Financial Analysis -- chapter 18 Excel and Data Analysis -- chapter 19 ACL and Data Analysis -- chapter 20 IDEA and Data Analysis -- chapter 21 SAS and Data Analysis -- chapter 22 Analysis Reporting -- chapter 23 Data Visualization and Presentation -- chapter 24 Conclusion.

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.