Fraud Detection: Manipulated or fraudulent data do not trend to confirm to Benford’s Law, whereas unmanipulated data do.

Benford’s Law can be declared as an important rule in order to investigate fraud patterns for datasets in fields where categorical values have been counted, such as medical test results, income tax revenues, or customer refunds. This criteria can also detect inabilies in Nonfraudrelated applications detecting effected by a large number of low-value transactions, problems with data collection and missing data, curtail values and bias.