Tips & Tricks for Global MatchUp Matching Strategies

Blog Administrator | Address Verification, Matching, Tips & Solutions | , , , , ,

 

by Tim Sidor, Data Quality Analyst

In
the past we’ve discussed implementing different matching strategies based on how
you would like your records grouped. For example. By “Address”? or by “Name and
Address”. The former would match ‘John’ and ‘Mary Smith’ at the same household,
whereas the latter would identify them as unique
entities.
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MatchUp Now Available in the Cloud

Blog Administrator | Data Management, Data Matching, Data Quality, Data Quality Components for SSIS, Duplicate Elimination, SSIS | , , , , ,

Did
you know that most databases contain 8-10% duplicates? These duplicates get in
the way of business intelligence, accurate analytics, and can even result in
wasted spend and undeliverable mail costs.

 

The
solution? MatchUp®! The new edition of a Cloud web service to the
current lineup allows you to dedupe, household, and fuzzy match into any aspect
of your network that can communicate with our secure servers using common
protocols like XML, JSON, REST or SOAP.
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