Abstract: Methods and systems for an improved Enterprise Matching Service (“EMS”) that is designed to match incoming data records to a database of records, using less system resources and using those resources more efficiently. The EMS identifies potential matches by generating unique identifiers and match codes for incoming data records, and then, using a series of sequential matching strategies, matching the unique identifiers and match codes to pre-generated unique identifiers and match codes for database records to identify a subset of potential matches. If no matches are identified, the next matching strategy is executed. Once a subset of potential matches are identified, the methods and systems may weigh the subset of potential matches to determine whether there is a match.

Abstract: Methods and systems for an improved Enterprise Matching Service (“EMS”) that is designed to match incoming data records to a database of records, using less system resources and using those resources more efficiently. The EMS identifies potential matches by generating unique identifiers and match codes for incoming data records, and then, using a series of sequential matching strategies, matching the unique identifiers and match codes to pre-generated unique identifiers and match codes for database records to identify a subset of potential matches. If no matches are identified, the next matching strategy is executed. Once a subset of potential matches are identified, the methods and systems may weigh the subset of potential matches to determine whether there is a match.

Abstract: Methods and systems for an improved Enterprise Matching Service (“EMS”) that is designed to match incoming data records to a database of records, using less system resources and using those resources more efficiently. The EMS identifies potential matches by generating unique identifiers and match codes for incoming data records, and then, using a series of sequential matching strategies, matching the unique identifiers and match codes to pre-generated unique identifiers and match codes for database records to identify a subset of potential matches. If no matches are identified, the next matching strategy is executed. Once a subset of potential matches are identified, the methods and systems may weigh the subset of potential matches to determine whether there is a match.

Abstract: The present invention discloses methods and systems for an improved Enterprise Matching Service (“EMS”) that is designed to match incoming data records to a database of records, using less system resources and using those resources more efficiently. The EMS identifies potential matches by generating unique identifiers and match codes for incoming data records, and then matching the unique identifiers and match codes to pre-generated unique identifiers and match codes for database records. Various match sensitivities are embedded in the pre-generated match codes, so an extensive match is handled by a simplistic “one to one” match between match codes in order to identify a subset of potential matches. Once a subset of potential matches are identified, the methods and systems weigh the subset of potential matches to determine whether there is a match.

Abstract: The present invention discloses methods and systems for an improved Enterprise Matching Service (“EMS”) that is designed to match incoming data records to a database of records, using less system resources and using those resources more efficiently. The EMS identifies potential matches by generating unique identifiers and match codes for incoming data records, and then matching the unique identifiers and match codes to pre-generated unique identifiers and match codes for database records. Various match sensitivities are embedded in the pre-generated match codes, so an extensive match is handled by a simplistic “one to one” match between match codes in order to identify a subset of potential matches. Once a subset of potential matches are identified, the methods and systems weigh the subset of potential matches to determine whether there is a match.

Abstract: The present invention discloses methods and systems for an improved Enterprise Matching Service (“EMS”) that is designed to match incoming data records to a database of records, using less system resources and using those resources more efficiently. The EMS identifies potential matches by generating unique identifiers and match codes for incoming data records, and then matching the unique identifiers and match codes to pre-generated unique identifiers and match codes for database records. Various match sensitivities are embedded in the pre-generated match codes, so an extensive match is handled by a simplistic “one to one” match between match codes in order to identify a subset of potential matches. Once a subset of potential matches are identified, the methods and systems weigh the subset of potential matches to determine whether there is a match.

Abstract: The present invention discloses methods and systems for an improved Enterprise Matching Service (“EMS”) that is designed to match incoming data records to a database of records, using less system resources and using those resources more efficiently. The EMS identifies potential matches by generating unique identifiers and match codes for incoming data records, and then matching the unique identifiers and match codes to pre-generated unique identifiers and match codes for database records. Various match sensitivities are embedded in the pre-generated match codes, so an extensive match is handled by a simplistic “one to one” match between match codes in order to identify a subset of potential matches. Once a subset of potential matches are identified, the methods and systems weigh the subset of potential matches to determine whether there is a match.

Abstract: A system and method for efficiently and intelligently matching student enrollment records is disclosed. The method may be used, for example, to track student progress from secondary to postsecondary institutions and generate statistics about aggregate college enrollment rates to inform policy decisions. In exemplary embodiments, the matching algorithm accounts for common variations in student names and geographical distances between secondary institutions and the student's current known address to generate higher confidence matches.

Abstract: A system and method for efficiently and intelligently matching student enrollment records is disclosed. The method may be used, for example, to track student progress from secondary to postsecondary institutions and generate statistics about aggregate college enrollment rates to inform policy decisions. In exemplary embodiments, the matching algorithm accounts for common variations in student names and geographical distances between secondary institutions and the student's current known address to generate higher confidence matches.