Fraud Auditing, Detection, and Prevention Blog

Leonard W. Vona

Leonard W. Vona has more than 38 years of diversified auditing and forensic accounting experience. His firm, Fraud Auditing, Inc., advises clients in areas of litigation support, financial investigations, and fraud prevention.
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Recent Posts

What Is The Difference Between A Shell Company and Ghost employee?

Nov 25, 2019 7:30:00 AM / by Leonard W. Vona posted in Fraud Data Analytics, Fraud Auditing ...

Over the last six months, I have traveled the world talking about fraud data analytics. I want to thank everyone who has participated in the sessions. I also want to thank the hundreds of individuals who have signed up to receive our monthly blog newsletter.

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Fraud Auditing To Bust Ghost Employees

Oct 28, 2019 1:52:10 PM / by Leonard W. Vona posted in Fraud Data Analytics, Fraud Auditing ...

One of the most popular topics on this blog has been Ghost Employees. I recently sat down for an interview on how fraud auditing can be used to uncover Ghost Employee schemes that I wanted to share with you.

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Uncovering Pass-Through Schemes Involving Real or Shell Companies

Sep 20, 2019 7:13:41 AM / by Leonard W. Vona posted in Fraud Data Analytics, Fraud Auditing ...

At the June 2019 ACFE conference I spoke about Fraud Data Analytics (FDA): How to Locate Complex Vendor Overbilling Fraud Risk Statements. My sessions were sold out, so for those unable to hear my presentation I am writing three blogs that explain three of the four fraud risk statements I covered: Price inflation scheme: hidden entity scheme and now we will cover the pass-through scheme. The fourth fraud risk statement was explained in a blog posted on August 18, 2018.

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Hidden Entity Scheme

Aug 29, 2019 3:25:52 PM / by Leonard W. Vona posted in Fraud Data Analytics, Fraud Auditing ...

At the June 2019 ACFE conference I spoke about Fraud Data Analytics (FDA): How to Locate Complex Vendor Overbilling Fraud Risk Statements. My sessions were sold out, so for those unable to hear my presentation I am writing three blogs that explain three of the four fraud risk statements I covered: Price inflation scheme: hidden entity scheme and the pass-through scheme. The fourth fraud risk statement was explained in a blog posted on August 18, 2018.

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Setting up Audits to Locate Complex Vendor Overbilling by Price Inflation

Jul 23, 2019 5:24:49 PM / by Leonard W. Vona posted in Fraud Data Analytics, Fraud Auditing ...

At the June 2019 ACFE conference I spoke about Fraud Data Analytics (FDA): How to Locate Complex Vendor Overbilling Fraud Risk Statements. My sessions were sold out, so for those unable to hear my presentation I am writing three blogs in which I will explain three fraud statements I covered:

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Fraud Data Analytics: Designing the Fraud Test for the Plan

Jun 13, 2019 3:05:18 PM / by Leonard W. Vona posted in Fraud Data Analytics, Fraud Auditing, ...

In our first blog in a series on fraud data analytics, we identified a ten-step methodology for conducting a fraud data analytics project. In this blog, we will discuss steps nine and ten:

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Fraud Data Analytics: The Process of Selecting Transactions for Fraud Testing

May 21, 2019 8:00:27 AM / by Leonard W. Vona posted in Fraud Data Analytics, Fraud Auditing, ...

In our first blog in a series on fraud data analytics, we identified a ten-step methodology for conducting a fraud data analytics project. In this blog, we will discuss steps seven and eight:

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Fraud Data Analytics: Eight Critical Steps to Building Your Search Routines

Apr 18, 2019 8:29:16 AM / by Leonard W. Vona posted in Fraud Data Analytics, Fraud Risk Statements, ...

 

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Uncovering Fraud Using Fraud Data Analytics: Part 3 + 4

Mar 26, 2019 4:55:40 PM / by Leonard W. Vona posted in Fraud Data Analytics, Fraud Risk Statements, ...

Fraud Analytics: Planning considerations

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Fraud Data Analytics: Which data mining strategy is appropriate for the scope of the fraud audit?

Feb 14, 2019 4:28:28 PM / by Leonard W. Vona posted in Fraud Auditing, Fraud Based Approach, ...

Fraud Data Analytics: Selecting the Strategy

In our first blog in a series on fraud data analytics, we identified a ten-step methodology for conducting a fraud data analytics project. In this blog, we will discuss step three:

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