RVA_CFES – Using Data Analytics to Detect Fraud

Event Phone: 804.389.2609

  • April 8, 2015 - April 9, 2015
    7:45 am - 4:45 pm

ACFE-SealUSING DATA ANALYTICS TO DETECT FRAUD – 16 CPE Credits
April 8-9, 2015
Virginia State Police Training Center
7700 Midlothian Turnpike, West Chesterfield, Virginia 23235

VIEW SEMINAR DETAILS, PRESENTER & AGENDA

Join our Richmond Chapter, the Association of Certified Fraud Examiners and the Virginia State Police for this two day, in depth seminar, Using Data Analytics to Detect Fraud!

According to the ACFE’s 2014 Report to the Nations on Occupational Fraud and Abuse, proactive data monitoring and analysis is among the most effective of anti-fraud controls. Organizations which undertake proactive data analysis techniques experience frauds that are 60% less costly and 50% shorter than organizations that do not monitor and analyze data for signs of fraud.

Using Data Analytics to Detect Fraud will introduce you to the basic techniques of uncovering fraud through data analysis. Taking a software-independent approach, this two-day course provides numerous data analytics tests that can be used 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.

Our Chapter has engaged renowned forensic accountant and fraud examiner,
Bethmara Kessler (CFE, CISA), for her two day ACFE seminar, ‘Using Data Analytics to Detect Fraud’ (16 CPE).    This seminar is designed to meet the needs of practicing auditors, fraud examiners and forensic accountants; you don’t have to be an information management professional to apply these techniques, you just have to understand how to apply them during actual reviews and investigations.

Who Should Attend

Controllers and corporate managers;
Forensic and management accountants, accounts payable and financial analysts;
Internal and external auditors, CPAs and CAs;
IT professionals;
Certified Fraud Examiners and other anti-fraud professionals.

You will Learn How To …

— Recognize the types of data and available tools that can be used to look for signs of fraud;
— Implement the full data analytics process from determining which data to acquire to evaluating the results;
— Apply numerous fundamental, advanced and non-traditional data analysis techniques;
— Analyze non-numeric data, such as text and timelines, for signs of fraud;
— Identify anomalies and recognize common red flags of fraud that appear in the data;
— Use data analytics tests to detect various asset misappropriation, corruption and financial statement fraud schemes and much more!

Venue:  

Address:
Virginia, United States

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