Your Deduplication Processes May be Leaving You at Risk for GDPR Fines

Melissa Team | Article, Data Audit, Data Matching, Data Quality, Duplicate Elimination, Fuzzy Matching, GDPR, Global Business, Global Data Quality, Identity Resolution | , , , , , , , , ,

Once-trusted fuzzy matching algorithms may be leaving your organization vulnerable to hefty GDPR fines. The balancing act of false-positives and false-negatives in single customer view (SCV) systems used to favor the false-negative side, with near negligible error results. However, the standard of that balancing act has now been redefined by the GDPR regulations.… 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.
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How to Do It All with Melissa

Blog Administrator | Address Check, Address Correction, Address Quality, Address Standardization, Address Validation, Address Verification, Analyzing Data Quality, Data Enhancement, Data Enrichment, Data Governance, Data Integration, Data Management, Data Matching, Data Profiling, Data Quality, Data Quality Components for SSIS, Full Contact Authentication, Geocoding, Global Address Verification | , , , ,

With
Melissa, you can do it all – see for yourself with the brand new Solutions
Catalog. This catalog showcases products to transform your people data (names,
addresses, emails, phone numbers) into accurate, actionable insight. Our
products are in the Cloud or available via easy plugins and APIs.
Read More