This document discusses using unstructured data like social media profiles and online activity to assess fraud risk and determine credit scores. It describes how a social score can be generated based on personal details, relationships, interests, and location data extracted from online profiles and activity. This social score and other data insights can then be used by financial institutions and other organizations to streamline credit evaluation, identify potential investors or customers, and reduce fraud and risks.