Quality is the Missing Link in HealthLink’s Million+ Database

Melissa Team | Case Studies, Case Study, Data Cleansing, Data Quality, Data Quality Services | , , , , , , , ,

HealthLink depends on their data. And the company has a lot of it – it operates the largest multisourced database of active practicing physicians and allied health professionals. Their database helps the pharmacy, healthcare, medical device and insurance industries efficiently target their primary markets.

With so much data to collect and manage, HealthLink recognized it was critical to implement a solution that would clean and standardize all of its multisourced, multidimensional data – a daunting task to say the least.… Read More

Google Gets Nailed for GDPR

Author | Data Cleansing, Duplicate Elimination, GDPR | , , , , , ,

Today is Data Privacy Day! A good day to remind our readers about GDPR data privacy regulations and those pesky goalposts.

If you haven’t been keeping up, the GDPR hammer is coming down hard and fast on tech giants like Google, who was recently hit with a fine totaling 50 million Euros (about $57,192,500) by France’s data protection regulator CNIL. Anyone familiar with Google’s omnipresence in the digital arena and $111 billion in earnings will immediately notice that the fine, while large, is a softball in comparison with the data protection’s capacity to impose mind boggling fines – up to 4% of global annual revenue.… Read More

Matchcode Caveats – How to Solve Them

Blog Administrator | Matching | , , , , ,

By Tim Sidor, Data Quality Analyst

“The more advanced I make my matchcode, the more duplicates I’ll
identify.”

This is an
assumption – true or false – that many of our new users to MatchUp make, but
often leads to false dupes, no dupes, or a process that seems to run forever.

“Why?”

Adding more
columns of conditions, can be looked at as ‘just adding more ways to return
more duplicates.’
Read More

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.
Read More