Detecting Fraud with Data Analytics Virtual Workshop

CPE Credit: 20
Online Virtual Workshop | December 1-13, 2021
Course Level: Intermediate
Prerequisite: Working knowledge of basic functions in one or more of the following software programs: Microsoft Excel, ACL, IDEA, Tableau

According to the ACFE's 2020 Report to the Nations, proactive data monitoring and analysis is among the most effective anti-fraud controls. Organizations that undertake proactive data analysis techniques experience frauds that are 33% less costly and detect frauds 1.5 times as quickly as organizations that do not monitor and analyze data for signs of fraud. 

The Detecting Fraud with Data Analytics Virtual Workshop will teach you how to plan, design and apply numerous data analytics tests in order to detect various fraud schemes. You will also discover how to examine and interpret the results of those tests to identify the red flags of fraud. 

The course will begin by providing a solid foundation on which to build your data analytics initiatives, from understanding the types of tests that can be used to properly obtaining, preparing and normalizing your data for testing. You will then learn how to link your new knowledge of analytical tests, data sources, and fraud schemes into a holistic approach for applying data analysis techniques to real data sets and scenarios. The course will conclude with discussions on how to effectively—and ethically—communicate the results of your analyses.

Homework assignments between classes allow you to practice using your data analytics skills to uncover the red flags of fraud. You will work through cases covering a variety of exercises, including case studies on purchasing fraud, payroll manipulation, and cash receipts fraud.

In this workshop, you will learn how to:

  • Apply the full data analysis process, including planning, data preparation, analysis, and effectively communicating the results
  • Implement numerous traditional and non-traditional data analysis techniques
  • Identify anomalies and recognize common red flags of fraud that appear in the data
  • Design and run targeted data analytics tests to detect various types of fraud schemes
  • Communicate the results of your data analyses effectively and ethically
Day 1, December 1, 2021, 1:00 p.m.–3:05 p.m. CT
  • Introduction to Data Analytics
  • The Data Analysis Process
  • Prepping, Normalizing, and Harmonizing Data
Day 2, December 3, 2021, 1:00 p.m.–3:05 p.m. CT
  • Data Analysis Techniques
  • Data Analysis Tests for Detecting Theft of Inventory and Cash Receipts
Day 3, December 6, 2021, 1:00 p.m.–3:05 p.m. CT
  • Data Analysis Tests for Detecting Financial Statement Fraud
  • Data Analysis Tests for Detecting Billing and Payment Tampering Schemes
Day 4, December 8, 2021, 1:00 p.m.–3:05 p.m. CT
  • Data Analysis Tests for Detecting Corruption
  • Data Analysis Tests for Detecting Payroll Schemes
Day 5, December 9, 2021, 1:00 p.m.–3:05 p.m. CT
  • Data Analysis Tests for Detecting Expense Reimbursement and P-Card Schemes
  • Effectively Communicating the Results of Data Analytics
Day 6, December 13, 2021, 1:00 p.m.–3:05 p.m. CT
  • Ethical Use of Data and Analytical Results

Technical Requirements and CPE: 
  • All demonstrations for this course will be shown in Microsoft Excel, as this is the most universal program for attendees. However, homework assignments and exercises can be conducted in the software of your choosing (ACL, IDEA, Tableau, PowerBI, etc.). 
  • In order to participate in this workshop, attendees will need one or more of these software programs fully installed and ready to use on their own computer. 
  • Copies of the software programs and technical support for installing and running the programs will NOT be provided. Attendees must have the ability to download data files in Excel format for use in this course.
  • This course consists of 6 instructor-led virtual class sessions and 5 homework assignments. To receive full CPE credit for this course, you will need to complete all of these components. 
  • You may earn partial CPE credit for just the course components you complete provided you participate in both types of components (instructor-led virtual class sessions and homework assignments) over the course of the full workshop. 


User-added image

Jeremy Clopton, CFE, CPA
Upstream Academy

Field of Study: Auditing
Advanced Prep: None
Delivery Method: Group Internet Based

Registration Fees

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