Data Matching, in the context of Monaka’s offerings, can be defined as the processes, and the technology behind those processes, of finding and matching identities, entities or addresses in datasets or databases despite the unavoidable variations that exist between the biographical and naming attributes of the search and file data. The data types might include person names, birth dates, email addresses, organization names, account names, contact names, addresses, telephone numbers, id numbers, email addresses and more, and can be extended to include any set of real-word labels, such as product names, song or book titles.

SERVICES INCLUDED

Data Matching serves business processes such as name search, address search, duplicate discovery, customer lookup, watch list screening, single view creation, record linking, customer matching, compliance matching and many more custom terms that organisations use to describe their use of data search and matching.

Data Search and Matching is a large and complex subject area best solved by mature, enterprise-grade, purpose-designed technology, undergoing continually improvement and in use by hundreds of major organizations.