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Tuesday, July 9, 2024 Live Webcast

Designing Anti-Fraud Tests that (Actually) Work! (X7-6388)

12:00 PM - 1:00 PM EDT
webcast

Vendor Platform

1 CPE Credits in SK

OVERVIEW

While data analytics is not a new concept, many organizations have tried (many unsuccessfully) to create data analytics that deliver meaningful results and insights, monitor internal controls and identify fraud. This session will focus on how to correlate data and design anti-fraud tests using a risk-based approach in order to tell a story that is both compelling and insightful. An automated anti-fraud journal entry testing model will be demonstrated for the group, as well.

DESIGNED FOR

This course is ideal for internal auditors, compliance professionals, risk managers, and anyone involved in auditing or governing AI initiatives within an organization.

BENEFITS

This session will focus on how to correlate data and design anti-fraud tests using a risk-based approach in order to tell a story that is both compelling and insightful.

HIGHLIGHTS

Date(s) and Time: Jul 9 from 12:00 PM - 1:00 PM ET

In this session, participants will:

  • Examine historical data analytics methodologies and techniques. 
  • Explore data correlation and how to develop a risk-based approach. 
  • Discover how a risk-based approach could benefit your organization. 
  • Witness a demo of an automated anti-fraud journal entry testing model.

COURSE LEVEL

Basic

PREREQUISITES

None

ADVANCE PREPARATION

None

INSTRUCTOR

Matt Storlie

Matt Storlie, CFE, CIDA

With 30 years of experience in business and accounting, fraud examinations, data analysis, internal audit, and IT systems, Matt Storlie assists clients with forensic services, internal investigations, computer forensics, e-discovery and litigation readiness, and fraud risk assessments. As one of the firm's subject matter experts on data analytics, he utilizes his deep experience with IT systems, internal controls, and data analytics to develop proactive, risk-based anti-fraud models and programs, and is a certified data analyst of IDEA® software.

PRICING

$59.00 - Member

$309.00 - Nonmember

Pre-Registration Closed

Online pre-registration for this event is now closed.

ADDITIONAL OPTIONS

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