Data Analytics for Internal Auditors
eBook - PDF

Data Analytics for Internal Auditors

  1. 418 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Data Analytics for Internal Auditors

About this book

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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Information

Publisher
Auerbach Publications
Year
2017
Print ISBN
9781498737142
eBook ISBN
9781498737159
Edition
1
Topic
Computer Science
Subtopic
Management
Index
Computer Science

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. About the Author
  8. Introduction
  9. Chapter 1: Introduction to Data Analysis
  10. Chapter 2: Understanding Sampling
  11. Chapter 3: Judgmental versus Statistical Sampling
  12. Chapter 4: Probability Theory in Data Analysis
  13. Chapter 5: Types of Evidence
  14. Chapter 6: Population Analysis
  15. Chapter 7: Correlations, Regressions, and Other Analyses
  16. Chapter 8: Conducting the Audit
  17. Chapter 9: Obtaining Information from IT Systems for Analysis
  18. Chapter 10: Use of Computer-Assisted Audit Techniques
  19. Chapter 11: Analysis of Big Data
  20. Chapter 12: Results Analysis and Validation
  21. Chapter 13: Fraud Detection Using Data Analysis
  22. Chapter 14: Root Cause Analysis
  23. Chapter 15: Data Analysis and Continuous Monitoring
  24. Chapter 16: Continuous Auditing
  25. Chapter 17: Financial Analysis
  26. Chapter 18: Excel and Data Analysis
  27. Chapter 19: ACL and Data Analysis
  28. Chapter 20: IDEA and Data Analysis
  29. Chapter 21: SAS and Data Analysis
  30. Chapter 22: Analysis Reporting
  31. Chapter 23: Data Visualization and Presentation
  32. Chapter 24: Conclusion
  33. Appendix 1: ACL Usage
  34. Appendix 2: IDEA Usage
  35. Appendix 3: Risk Assessment: A Working Example
  36. Index

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Yes, you can access Data Analytics for Internal Auditors by Richard E. Cascarino in PDF and/or ePUB format, as well as other popular books in Computer Science & Management. We have over one million books available in our catalogue for you to explore.