Melissa Data Announces Enhancements to its MatchUp Data Cleansing and Matching Tool
MatchUp v3 features advanced fuzzy matching algorithms and new proximity matching to consolidate data and improve the effectiveness of data mining and business intelligence
RANCHO SANTA MARGARITA, Calif., – Melissa Data, a leading
provider of contact data quality and direct marketing solutions,
today announced MatchUp v3, a powerful programming tool that
identifies and eliminates duplicate customer records. As many as 10
percent of the contact records in the average database are
duplicates. Eliminating these duplicates and linking customer data
supports a better understanding of each individual customer and
their relationship to the business – enhancing customer service,
reducing, costs, managing risk and increasing profitability.
“New, advanced matching capabilities now enable you to identify
matches between records where data cannot visibly be determined as a
match,” said Bud Walker, director of data quality solutions for
Melissa Data. “Through the use of geocoding addresses, specifying a
minimum unit difference between numeric data types, or specifying a
date range, MatchUp can now group records with no common data into
the same duplicate group.”
MatchUp v3 now features a proximity match component type, which
accepts a set of latitude and longitude mappings enabling you to
match the closest consumers to the business location. Previously,
the geo-coordinates required an exact match.
Now, the proximity Matchcode component allows a user to set a range
(in miles) that records will match if they are within that range.
New Fuzzy Algorithms
Business practices sometimes require specific algorithms. In
addition to the current selection of fuzzy algorithms, MatchUp v3
has added 11 new fuzzy algorithms — including Jaro-Winkler, Dice’s
Coefficient, n-gram, Needleman-Wunch, and Jaccard Similarity —
giving users more flexibility to create the matching strategies
needed to dedupe and cleanse data assets.
MatchUp v3 joins a comprehensive line of 32/64 Bit, multiplatform
APIs that Microsoft developers can integrate into their applications
for data verification and enrichment of contact data. These APIs can
perform address verification, phone verification, email address
verification, name parsing and genderizing, IP location, and
geocoding to name a few.
Free trials of all Melissa Data’s APIs are available at
News Release Library