5 Easy Resolutions to Keep a Clean Database in 2020

Melissa Team | Address Verification, Canada Post, Data Cleansing, Data Enrichment, Data Quality, Direct Mail, Express Entry, Listware Online, Mailers, Matching, NCOA, Tips & Solutions | ,

80% of New Year’s resolutions are abandoned as early as February! Are you going to keep yours this year? We hope you do! That’s why we’re sharing the 5 easiest resolutions (that you can actually keep) to build and maintain a clean database in 2020. Meet the two tools that will make it possible: Listware Online and Mailers Online. These are the best tools to meet all your data cleansing needs – completely hands-free.… Read More

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.

 

For
Global processing, even after determining and selecting a general strategy,
‘Address’ for example, it might still require knowing the expected address
formats of the source data that needs to be compared and thus reevaluate the
logic.
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Discover Data Quality Issues Before they Arise

Blog Administrator | Data Audit, Data Cleansing, Data Enhancement, Data Enrichment, Data Matching, Data Profiling, Data Quality, Data Quality Assessment, Tips & Solutions | , , , ,

By Taky Djarou, Data
Quality Analyst

 

Melissa has
released its new data Profiler API. The Profiler Object offers a unique
approach to profiling your data, combining years of contact data quality
experience, the power of many Melissa Objects, and data source tables to
help you dig deeper into your data and return hundreds of properties about the
input table, columns and individual values.
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