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:
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 one and two.
This blog is the first in a series of seven to explain how to perform fraud data analytics. It introduces a ten-step approach along with explaining the concept of fraud auditing.
For years, auditors, myself included, would launch a fraud detection project by getting the data and playing with the data. At least that was the expression. We hoped to trip across a fraud scheme. We had no specific plan, just a simple goal: Find fraud. We did not know what we were looking for, but we were looking. Eventually, we hoped to find something. But, those days are over.
