Chance are you’re aiming to invest in a BI and analytics program to capitalize on the big data your company has
States across the U.S. are ramping up their data efforts in deploying statewide longitudinal data systems (SLDS) that contain information on
Poor address data is a complex data quality challenge that affects customers, businesses, and even the mailing service. The staggering amount
While the world was celebrating the start of a new decade, a pandemic was lurking in the dark. Within months of
Ever generated a report only to realize that most of your contact information’s email addresses are not valid? That’s a failed
If you’ve landed here, chances are you already know you want a 360-customer view for all the customer data in your
Being data-driven is an ambition for most companies today, however, data quality is an underlying challenge that hinders companies from following
You may have often heard of ZIP+4 address verification when implementing a data cleansing and matching activity. But do you know
Operational efficiency remains a key challenge for enterprise-level businesses, especially in an age when customers have very little patience and the
Do your banking officers or insurance agents still manually compare spreadsheets to make sense of data? Do you still have manual
It won’t be possible to give an overview of data management trends 2020 without conducting an analysis of the clients and
Most companies now understand that new technologies and applications must be implemented in order to upscale business operations. But implementing a
Catherine spelled as Cathy, Kath or Katharine; John entered in your system as Jon, Jonathan, or Jonny; or a Margaret who
Using Wordsmith to Remove Noise and Standardize Data in Bulk for Greater Matching Confidence The data that flows into your organization
Bad data is why many data warehousing projects fail to deliver results; in fact, data quality in data warehouses remains a
“The ability to view the customer through a single lens enables critical measurement, optimization, efficiency, and personalized use cases.” Jason Niemi,