Data Validation Software – How to Ensure Your Input Data is Valid and Error Free
Ever generated a report only to realize that most of your contact information’s email addresses are not valid? That’s a failed case of data validation.
Ever generated a report only to realize that most of your contact information’s email addresses are not valid? That’s a failed case of data validation.
If you’ve landed here, chances are you already know you want a 360-customer view for all the customer data in your organization. Cutting right to
Being data-driven is an ambition for most companies today, however, data quality is an underlying challenge that hinders companies from following through with this ambition.
You may have often heard of ZIP+4 address verification when implementing a data cleansing and matching activity. But do you know exactly what is a
Operational efficiency remains a key challenge for enterprise-level businesses, especially in an age when customers have very little patience and the competition is high. It
Do your banking officers or insurance agents still manually compare spreadsheets to make sense of data? Do you still have manual journal entries as part
It won’t be possible to give an overview of data management trends 2020 without conducting an analysis of the clients and the projects we worked
Most companies now understand that new technologies and applications must be implemented in order to upscale business operations. But implementing a data migration of a
Catherine spelled as Cathy, Kath or Katharine; John entered in your system as Jon, Jonathan, or Jonny; or a Margaret who goes by Peggy when
The data that flows into your organization comes in a variety of formats: inconsistent capitalization, punctuation, obscure acronyms, alpha-numeric characters living in fields they shouldn’t
Bad data is why many data warehousing projects fail to deliver results; in fact, data quality in data warehouses remains a significant challenge for many
“The ability to view the customer through a single lens enables critical measurement, optimization, efficiency, and personalized use cases.” Jason Niemi, Director Digital Engagements, Kraft
Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of enterprise data ecosystem without friction.