Relative size factor

Relative size factor is a test for reasonableness, identifies anomalies where the largest amount for groups of data sets based on the Vendors Name/ Paid To /Received From) is outside the norm for those groups or subsets. It compares the top two amounts for each group and calculates the RSF for each.It is a powerful test for detecting errors and potential fraudulent activities.

How to use it ?

StrayDot flags transactions categorizing them based on severity of relative size value.

What does our fraud detection analytics software do?

We run more than a dozen separate tests with just the basic data. In fact over half the test for employee, payroll, accounts payable, check, and business fraud are run with just check data, check amount and payee. Here are the tests we run:

Benford’s law

single and double digits

Similar vendors

(you set the similarity percentage)

Non-business day transaction

(US Holidays included)

Under cut-off amounts

(you set the limits)

Z-score

(also helps identify vendors putting stress on the business)

Fictitious vendor search

(you select the search words like PO Box, or consultant)

Amounts Exactly Twice

As much as other

Amounts starting with

Same First Four Digits