Using Big Data in Fraud Risk Management

July 18, 2017
8:00 AM - 12:00 PM
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KU Edwards Campus - BEST Building
Room BEST 110 12604 Quivira Road
Overland Park, KS 66213

Using Big Data in Fraud Risk Management
with guest speaker Jeremy Clopton

July 18, 2017

8:00 am - 12:00 pm

Registration Ends: Thursday 7/13/2017 

The Board of Directors is pleased to announce another Greater Kansas City Chapter of Certified Fraud Examiners’ 2017 Summer Workshop, Using Big Data in Fraud Risk Management with guest speaker Jeremy Clopton for 4 hours CPE

Check-in Starts: 7:30 am
Event: 8:00am - 12:00 pm
4 hours of eligible CPE

Full breakfast will be provided by Grandma’s Catering and is included in the event pricing. **Please note- If a special dietary need is required, such as vegetarian, etc., please send an email to (no later than Tuesday 7/11/17) and we will attempt to accommodate your request.**

During this presentation, the following topics will be covered:

Schemes, Scams and Swindlers: Insights into Organizational Fraud:

Fraud schemes committed by employees and other insiders are a serious problem in today's economy and few companies do enough to stop it.  According to the Association of Certified Fraud Examiners' 2014 Report to the Nations, the average organization loses five percent of revenue to fraud.  This presentation includes a discussion of current fraud trends, insights into actual fraud cases and tips on how to help reduce fraud risk.

  • Learn the cost and impact of fraud.

  • Recognize the warning signs that fraud may be occurring in your organization.

  • Gain a better understanding of fraud through various case studies.

  • Gain practical tips to reduce the risk of fraud in your organization.


Data Analytics for Fraud Prevention and Detection

Organizations generate an enormous amount of transactional and attribute based data every day.  This creates a need for an effective and efficient solution for analyzing the data to uncover potential fraud, waste and abuse.  Forensic data mining is that solution.  This session will cover what data mining is, common areas of application and case study examples of data analytics in action.  Finally, the session will conclude with a discussion on how data analytics can help your organization take a proactive approach to fraud detection and prevention.

  • The importance of data mining for fraud detection and mitigation

  • Common areas of data mining applications within an organization

  • How data analytics has been used to uncover various frauds

  • The six-phase process for implementing data mining in an organization

  • How data analytics can help your organization take a proactive approach to fraud detection using continuous auditing


All Data Considered: Using Data Beyond the Accounting System for Fraud Prevention & Detection

While examiners are quite familiar with the use of structured data in fraud examinations, it is important consideration be given to all available data. Much of the remaining data, likely more than 80 percent, is unstructured data. Commonly comprised of email communications, social media, text messaging, computer activities and deleted files, this data can be incredibly valuable in an examination. Leveraging the knowledge and skills of data analytics experts and digital forensics experts provides insight and information that can increase both the efficiency and effectiveness of an investigation. This session discusses how examiners can leverage all available data, both structured and unstructured, in their next examination.

  • Identify the differences between structured and unstructured data

  • Discuss how data analytics is used related to structured data

  • Identify the components of text mining

  • Identify the synergies between digital forensics and data analytics, and how they impact an examination


Communicating Complex Data Effectively

Whether in the legal community, accounting industry or within an organization, communications regarding data are almost always a challenge.  Through the use of reports, dashboards and other data visualizations, data are presented in a variety of ways.  Many times, these methods result in miscommunication regarding the data.  This session is designed to help you learn how to better communicate complex data.

  • Discuss the challenges of communication with data between departments

  • Identify the relationship your audience plays in choosing your presentation method

  • Develop a framework for approaching your next data communication challenge


About Our Guest Speaker:

Jeremy R. Clopton, CPA, CFE, ACDA, CIDA

Director - BKD, LLP

As a member of BKD Forensics & Valuation Services division, Jeremy leads the Big Data & Analytics and Digital Forensics practices. He specializes in data analytics with applications in fraud prevention and detection, risk assessment and business intelligence.
Jeremy’s project experience includes the development and implementation of analytics programs for Fortune 500 companies, development of analytics for compliance with anti-bribery and corruption regulations and investigative experience working with criminal justice organizations.

He is a frequent speaker on the topic of data analytics, speaking at conferences on the global, national and regional levels. He is an instructor for the Association of Certified Fraud Examiner’s (ACFE), contributor to the ACFE’s Fraud Magazine and a variety of blogs on the topic of data analytics. 

Jeremy is a CPA, Certified Fraud Examiner (CFE), ACL Certified Data Analyst (ACDA) and Certified IDEA Data Analyst (CIDA). He is one of a small number of professionals worldwide certified in both ACL and IDEA data analytics software.

We hope to see you there!



$45.00 Member

$65.00 Non-member

$45.00 ACL User Group Members