Abstract: An approach is disclosed for detecting fraud in financial records of a network subscriber. Financial records are received and impersonal data are extracted. Financial record data are processed to conform to a normalized format. Normalized records can be correlated into groups linked to respective sources such as, for example, an individual, a business entity, or a healthcare practitioner. Digits contained in this data are analyzed to determine a pattern that is indicative of fraud. An alert, to the fact that fraud has been detected with respect to an identified plurality of records if such determination has been made, is then generated.