A company was losing significant profits each month due to customer fraud and some employee fraud. To help identify fraudulent sales faster, a program was created in Excel to analyze point of sale data and assign a fraud potential score based on common fraud factors. This program could identify the 1% of sales most likely to be fraudulent within seconds, saving employees hours of checking hundreds of sales manually each day. The program accessed and used data from other open Excel workbooks to generate custom fraud reports without needing an Excel interface.

1. Fraud Finder - May 2015 (VBA/Excel)
The amount of fraud sales that were occurring for a company was out of control. There were dozens of sales per
month that were customer fraud, and each sale cost the company an average of $700 each. Some employees were
also committing fraud in this bad atmosphere. Identifying these sales after the fact could not prevent the profit loss,
but it was able to enlighten the sales staff about imminent fraud dangers. A program was created to analyze data
from the point of sale system for common patterns found in fraud sales. A point system was developed for each
factor, and the higher the resulting score for a sale meant the higher the fraud potential. Checking hundreds of
sales per day would take many hours without a program. This program identified only the sales that needed to
be checked (about 1% of total sales) in seconds.
This program was made in Excel, but there is no Excel interface to it. When you open the workbook, it validates that other
workbooks are open. The “Create Fraud Report” function would take information from external workbooks, and create this
custom report of fraud potential. The information on the report had to be blurred to protect propriety.