Accounting Data Analytics

Overview

You could pay $0 for this course!
This course qualifies for reimbursement through the State Workforce Training Express Fund. Firms/companies with fewer than 100 staff will receive 100% of the cost of training reimbursed. You must register for this course and apply for reimbursement through the Workforce Training Express Fund website a minimum of three weeks before the start date of the course to be eligible. The course code for this program is C-6542. To learn more click here or contact Julia Ekelund at jekelund@mscpaonline.org.

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 IDEASc approach to using data analytics on engagements to ensure compliance with audit and review standards and to provide value-added services to clients. All of AHI’s courses rely heavily on participant interaction and these virtual programs have co-opted many of Zoom’s features to preserve the same strengths of the in-person training: visual interaction between the instructor and all participants (plan to be “on screen” throughout the program); breakout rooms to ensure small group engagement; and instructor interaction screen share for small group presentations easy delivery of video presentations fillable PDF for online note-taking in the course materials.

Highlights

Accounting Data Analytics

Prerequisites

None

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.

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 IDEASc 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.

Preparation

None