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,
To understand and respond to trends that impact business performance, it’s critical that you know where to find corresponding data and
Leading market research firm, Gartner, suggests that 40% of all business initiatives lose value because of incorrectly linked, or messy data. Data deduplication and record
Data is everywhere, with total volume expected to exceed 44 trillion GBs by 2020, but rarely is it useful. Only 27%
Why 50% of all CRM initiatives fail? With an average return of $8.71 per dollar invested in CRM software, a CRM is a
“It takes $1 to verify a record as it’s entered, $10 to cleanse and dedupe it, and $100 if nothing
As villains continuously strive hard to demoralize the hero in your favorite movies and books but never succeeds, similarly, the wrong