Cleanse Match for SQL Server Data Quality Service (DQS)

Melissa IN Team | Data Quality Services | , , ,

Data can help companies identify challenges and opportunities and make timely decisions for their growth. Despite being aware of this, 58% of a survey’s respondents claimed that at least half their regular decisions were based on experience and gut feel rather than data.

One of the key reasons for this is unreliable data quality. Data Quality Services introduced in the SQL Server help overcome some of the challenges of improving data quality and, in turn, minimizing risks of wrong analytics and inaccuracies.… Read More

What Is A Postal Code And Why Is It Important For Address Verification And Validation?

Melissa IN Team | Address Verification | , , , ,

Did you know that Aurangabad in Maharashtra shares its name with a city in Bihar? Similarly, ‘Pune’ is the name of a city as well as a district in Maharashtra. There are many other cities and districts across India that share names. Cities share names internationally too. There’s a city called Kochi in Kerala and one in Japan. Almost every state in the USA has a community called Springfield.… Read More

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. Find out how GDPR has moved the “match” goalposts, how to test your SCV platform, and what you need to do to keep your organization GDPR compliant.… Read More

How to Get Complete Control Over Your Data Stewardship Processes

Blog Administrator | Data Matching, Matching | , ,

Matchbook is a SaaS solution that provides accurate and
complete control over your data stewardship processes.

With a fully functional user dashboard, Matchbook
enables data stewards to:


View queue statistics to see how much data has been processed
and the status of their matches.


See at-a-glance how many of the processed company
records were low confidence or had no matches at all and then compare
that to low confidence match patterns. 
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Record Matching Made Easy with MatchUp Web Service

Blog Administrator | Data Governance, Data Integration, Data Management, Data Matching, Data Quality, Data Quality Components for SSIS, Data Steward, Data Warehouse, Duplicate Elimination, Fuzzy Matching, Golden Record, Householding, Identity Resolution, Record Linkage, SQL Server Integration Services, SSIS, Survivorship | , , , , , , ,

MatchUp®,
Melissa’s solution to identify and eliminate duplicate records, is now
available as a web service for batch processes, fulfilling one of most frequent
requests from our customers – accurate database matching without maintaining
and linking to libraries, or shelling out to the necessary locally-hosted data
files.

 

Now
you can integrate MatchUp into any aspect of your network that can communicate
with our secure servers using common protocols like XML, JSON, REST or SOAP.
Read More