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 computer system linking two-year degree granting institutions (DGI's) with four-year host institutions and with a nationalized database and unified server environment that is designed to communicate with individual students. The participating DGI and host institution must first obtain each student's permission for the system's use of their data. As part of the RT system, students will also be given access to their educational records housed at a centralized data repository. The reverse transfer process implemented by the system will include, for the host school, a file intake process involving the steps of receiving a file via FTPS, performing file edits, and correction of file errors. Once corrected, the host school will approve the file and submit it via a user Interface where the file will then be merged into the centralized database. For that student, the system will then reference a pre-stored authorization matrix in order to identify which DGI's are authorized to view the host school data.