Data analytics can be an exceedingly useful tool for investigating entire populations of data, rather than just engaging in audit sampling. An auditor can use data analytics in every phase of an audit, from risk assessments through forming an overall conclusion. In the Guide to Data Analytics for Audits course, we describe the uses to which data analytics can be put, the issues related to data collection, and how analytics can be applied to each phase of an audit. The audit CPE course is supplemented by seven case studies that show how the concepts discussed in the course can be applied to audits.
Learning Objectives
Upon successful completion of this course, participants will be able to:
Recognize the principles to be applied to the development of data visualizations.
Identify the characteristics of relevant and reliable data.
Specify the audit documentation requirements for data analytics procedures.
Recognize the process flow for dealing with notable items.
Identify the uses to which grouping and filtering activities can be put when engaging in audit data analytics.
Major Topics
Considerations When Selecting A Data Analytics Procedure
Use of Visualization Techniques
Data Access Concerns
Conducting a Data Analytics Procedure
