FVC1951. Data Analytics Progression Part 2: Advanced CAATs, Automation, and Visualization Case Study

Area of Expertise: 
The Experienced Pro
Field of Study: 
Accounting
Computer Software & Applications
CPE Credit: 
1.5
Knowledge Level: 
Intermediate
Advanced Preparation: 
None
Prerequisite: 
Basic knowledge of, or general experience in, forensic accounting, business valuation, or litigation

Wednesday, November 6, 2019
 
7:30AM-8:45AM

Building on the "How to Trust Your Data" session, this session will explore the next project phase: analyzing data to identify trends and outliers to form observations. The format of the session will lean on a use-case on how the application of computer-aided audit techniques, visualization, and automation can be used for forensic engagements.

After attending this course, attendees will be better able to:
Learning Objectives:

  1. Learn statistical techniques used to calculate comparison measures within a dataset leveraging the Python programming language.
  2. Perform data analytics techniques to identify outliers, activity of interest and hidden insights in data to undercover risky activity or violations of compliance or corporate policy.


SESSION SPEAKER(S)

CFE
Managing Director | Deloitte