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.
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.
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.
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.
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:
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:
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:
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:
