🔗 Matching, Linking & Merging
Many users of Aperture Data Studio use it to create, maintain and operationalise a single view of their 👧customers, 👩🎓 students, 🧔citizens, 🤒 patients, 🦹♂️ nominals, 👨🔧staff or other party data (not that kind of party 🎈).
This functionality of matching data together (in both bulk scenarios to cluster records within a given input, and in real-time to query new records against the existing data store of people data) is provided via the Find Duplicates engine, which is a seperately licensed component of the Aperture Data Studio platform.
In the following demo I'll take you through a quick tour of the powerful matching capabilities available via the Find Duplicates matching engine, illustrating the use of Machine-Learning to optimise the matching accuracy and highlighting the options available for resolving any duplicates that are found in a configurable manner (e.g. to create a single record from multiple conflicting versions of an identity):
As always, I'd welcome your thoughts, comments and ideas below in the comment.
Danny
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