Accounting Data Analytics
Date/Time
6/27/2024
1:00 PM - 3:00 PM Central
1:00 PM - 3:00 PM Central
Event Registration
Event Type(s)
Webinars
Event Description
This 2-hour mini course introduces how data analytics can be used to improve engagement quality and efficiency. Participants explore the use of data analytics to assess risk, support financial statement assertions, assess internal controls and uncover fraud. Apply the ADA IDEAS© approach to using data analytics on engagements to ensure compliance with audit and review standards and to provide value-added services to clients.
Designed for: Accountants/Auditors with limited experience in data analytics who are interested in how to use audit data analytics on audit and accounting engagements.
Learning Objectives: Improve staff members' knowledge of when and how to use data analytics to improve engagement quality and efficiency. Understand how accountants use descriptive, diagnostic, predictive and prescriptive analytics. Use the ADA IDEAS© approach to using data analytics on firm engagements. Become familiar with commonly used data visualization methods. Use accounting data analytics to add value to engagements.
Prerequisites: None
Advanced Prep: None
Total Credits: 2
Credits: Accounting (1), Auditing (1)
Instructor: Bonnie Kennedy
Designed for: Accountants/Auditors with limited experience in data analytics who are interested in how to use audit data analytics on audit and accounting engagements.
Learning Objectives: Improve staff members' knowledge of when and how to use data analytics to improve engagement quality and efficiency. Understand how accountants use descriptive, diagnostic, predictive and prescriptive analytics. Use the ADA IDEAS© approach to using data analytics on firm engagements. Become familiar with commonly used data visualization methods. Use accounting data analytics to add value to engagements.
Prerequisites: None
Advanced Prep: None
Total Credits: 2
Credits: Accounting (1), Auditing (1)
Instructor: Bonnie Kennedy
Location
Online
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| 6/27/2024 |    |
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