Detecting Fraud With Data Analytics Workshop
Intermediate
Description
According to the ACFE's 2020 Report to the Nations, the use of proactive data monitoring and analysis is associated with lower fraud losses and quicker fraud detection.
The Detecting Fraud with Data Analytics 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 first day of the course will provide a solid foundation on which to build your data analytics initiatives. You will learn the types of tests that can be used to tie your tests to the fraud risk assessment, ways to properly prepare and normalize your data for testing, and how to effectively communicate the results of your analysis. On days two and three, you will link your new knowledge of analytical tests, data sources and fraud schemes while applying data analysis techniques to real data sets and scenarios.
Bring your own laptop and the software you are most comfortable with, * and practice using data analytics to uncover the red flags of fraud. You will work through cases covering a variety of fraud schemes, including purchasing fraud, payroll manipulation and financial statement fraud.
*Practical exercises can be conducted in Microsoft Excel, ACL, IDEA or Tableau. To participate in this workshop, you will need to bring one or more of these software programs fully installed and ready to use on your own laptop. Technical support for installing and running these programs will NOT be provided.
Prerequisites
Working knowledge of basic functions in one or more of the following software programs: Microsoft Excel, ACL, IDEA, Tableau
You Will Learn How To:
Recognize the types of data and available tools that can be used to look for signs of fraud
Implement numerous traditional and non-traditional data analysis techniques
Identify anomalies and recognize common red flags of fraud that appear in the data
Apply the full data analysis process, including planning, data preparation, analysis and effectively communicating the results
Design and run targeted data analytics tests to detect various types of fraud schemes
Use your own laptop and software to perform data analysis techniques designed to detect fraud
CPE Information
| CPE Credit: | 24 |
|---|---|
| Advanced Preparation: | None |
| Delivery Method: | Group-Live |
Credit by Field of Study
| Auditing: | 24 |
|---|
Course Fees
Members: $1195
Non-Members: $1495
Policies
Event Cancellation Policy
Our cancellation policy is intended to keep costs low for attendees. Due to financial obligations incurred by ACFE, Inc., you must cancel your registration prior to the start of the event. Cancellations received less than 14 calendar days prior to an event start date are subject to a $100 administrative fee. No refunds or credits will be given for cancellations received on or after the start date of the event. Those who do not cancel and do not attend are responsible for the full registration fee. Should an event be cancelled or postponed by the ACFE due to unforeseen circumstances, ACFE will process a full refund of registration fees within 30 days of such circumstances becoming known. The ACFE will attempt to notify affected customers by phone and email after it determines cancellation is necessary.
Satisfaction Guarantee
ACFE events are unmatched in scope and effectiveness and backed by our unconditional satisfaction guarantee. If you attend an ACFE event and are not completely satisfied, please contact an ACFE Member Services Representative at MemberServices@ACFE.com or call (800) 245-3321 / +1 (512) 478-9000.
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