Advanced text-based identity data search, analytics, and quality
Inquire™ is a software development kit that performs fuzzy text-based filtering, searching, matching, and linking functions towards discovery of useful information in identity data. Analysis of text-based identity data is naturally complementary to biometric verification and identification, and Inquire is optimized for processing and analysis of data that includes biometrics.
Inquire provides many advanced text matching comparison algorithms and flexibility in how matching algorithms behave (e.g. thresholds, data definitions). It can be used to perform advanced analysis of text-based identity data for several useful investigative applications including data analysis and quality assurance, data integration, identity resolution, and link analysis. Inquire is fully scalable, with infrastructure that automatically determines processing resources and optimizes their utilization.
FUZZY NAME AND ADDRESS MATCHING
Inquire performs comparisons between text fields in identity records, such as names, addresses, and other biographic identity data. It can be configured to recognize common variations in spellings and formats to improve the performance and reliability of identity search and filter processes.
BIOGRAPHIC DATA MATCHING
Inquire can be used to identify potentially fraudulent identity information in a biometric database based on the content of multiple fields and attributes. For example, a name that changes due to marriage or an address that changes due to a move can be noted as a biographic match, while an identity demonstrating potentially fraudulent content can be automatically highlighted as requiring further investigation.