1. A computer-implemented method comprising: receiving, from a first information source, applicant data associated with a loan application having a plurality of applicants, wherein the applicant data comprises at least a name, a social security number, and a street address for each of the plurality of applicants; querying one or more of a public database and a private database with at least a portion of the applicant data; receiving, from a second information source that is independent of the first information source, a plurality of independent information in response to the querying; determining, with one or more computer processors in communication with a memory, based at least in part on a comparison of the applicant data with at least a portion of the plurality of independent information, a first validity indication of the applicant data; creating, with the one or more computer processors, disambiguated applicant records responsive to the first validity indication by one or more of: performing data cleansing on one or more of the applicant data and the plurality of independent information to eliminate one or more name variations; and adding metadata record to one or more of the applicant data and the plurality of independent information; determining, with the one or more computer processors, relationships among the disambiguated applicant records by one or more of: creating a core join data structure with at least a portion of all available disambiguated applicant records; splitting the core join data structure into persisted parts; and clustering one or more of the persisted parts and the disambiguated applicant records; scoring, with the one or more computer processors and based at least in part on the determined relationships among the disambiguated applicant records, at least one parameter of the applicant data; determining, with the one or more computer processors, one or more indicators of fraud based on the scoring of the at least one parameter; and outputting, for display, one or more indicators of fraud.