Unlike humans, matchit doesn’t get tired – its job is to enable you to accept the vast majority of matches without having to review them, so there are very few in the grey area that you might want to check. Here’s how it does this…
As candidate groups are created, matchit’s scoring algorithms compare the records contextually. All the relevant data is graded for similarity and assigned a component score for each aspect of the data.
Where conventional approaches rely on the comparison and scoring of match keys, matchit is comparing and scoring the contact name, company name, address, postcode, telephone, email, website, and even custom fields individually – so you can score things like account numbers, date of birth, car registrations or any other information you hold.
Finally, the component scores are brought together into a single composite score which establishes the overall similarity between the two records.
Job done? Not quite, there’s more going on under the hood of matchit – grouping of matches, bridging prevention, master record identification etc. To read more about this, just click the button below!