Guide to Data Analytics for Audits
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 course is supplemented by seven case studies that show how the concepts discussed in the course can be applied to audits.
Format
PDF Course
Level
Overview
Duration
1 Hour
Course Information
Author: Steven Bragg
Learning Objectives
Level: Overview
Course Number: AU1020
Learning Objectives
- 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.
Level: Overview
Instructional Method: QAS Self-Study
NASBA Category: Auditing
Prerequisites: None
Advance Preparation: None
Latest Review Date: May 2025
Program Registration Requirements: Click on the Enroll button to pay for and access the course. You will then be able to download the course as a PDF file, then take an on-line examination, and then download a certificate of completion if you pass the examination.
Program Refund Policy: For more information regarding administrative policies concerning complaints, refunds, and other matters, see our policies page.
