With the result match, a report is automatically generated where users can see which clients match and are therefore similar. This allows to join corresponding client data to one client in order to generate a univocal and unique client view.
Below shows an example of records that, according to the mapping table, belong together, since they have the same ‘Combined ID’. As you can see, the records are not identical, although they correspond within the set similarity criteria.
Customer ID | Naam | Adres | Postcode | Plaats |
400014 | Stichting Zorgbreed Capelle | De Baronie 326 | 2904 XM | CAPELLE AD YSSEL |
AWH-107 | Stichting Zorgbreed | De Baronie | 2900 AA | Capelle |
2516709 | St. Zorgbreed | De Baronie | 2900 AA | Capelle aan den IJssel |
Table 1: records from different databases
Customer ID | Combined ID |
400014 | 1000 |
AWH-100 | 1000 |
2516709 | 1000 |
Tabel 2: Mapping table