1. A fraud detection system for a telephony platform where call data records (CDRs) are generated for calls being serviced by the telephony platform, the fraud detection system comprising: a history database that stores a plurality of history records; a call analyzer that queries the history database for history records associated with metadata in an incoming call signal from a caller device, retrieves from the history database the history records associated with the metadata in the incoming call signal, and creates a caller analytics record (CAR) representing the retrieved history records; and a statistical analyzer that receives the caller analytics record (CAR) and one or more other caller analytics records (CARs) and computes at least one of a sum, a mean, a variance, and a standard deviation for the received caller analytics record (CAR) and the one or more other caller analytics records (CARs), wherein the statistical analyzer segments the caller analytics record (CAR) and the one or more caller analytics records (CARs) into different facets based on a facet ID included in each of the caller analytics record (CAR) and the one or more caller analytics records (CARs).