Countering Fraud With Big Data

Obvious application.  Having more data lets you more easily extract outliers and patterns of interest.  Find correlations that don't need to be causation.  This has been done long before data was big, or even commonly available.  It can also lead you to patterns that I was reminded of by a practitioner of compliance earlier this week.  Data can be too good, track other indicators too well.  Indicating a manipulation to influence a result.