Data Management Trends 2020 – An Overview by Data Ladder
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
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
Imagine sending out a promotional email to one of your best customers, William Rogers, that opens with “Dear Willy Rog.” It may seem like a
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
Every year, organizations invest millions into data warehousing projects, often to see them falter due to bad data. Whether it’s inaccurate entries, inconsistent formats, or
“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
To understand and respond to trends that impact business performance, it’s critical that you know where to find corresponding data and how to tie the
Imagine investing millions into a cutting-edge data warehouse only to have faulty data corrupt every insight, decision, and action. It happens more often than you’d
Comprehensive Salesforce data cleansing guide filled with actionable solutions that can help you reduce wasted costs and increase revenue NOW!
“It takes $1 to verify a record as it’s entered, $10 to cleanse and dedupe it, and $100 if nothing is done, as the ramifications
As villains continuously strive hard to demoralize the hero in your favorite movies and books but never succeeds, similarly, the wrong and bad data should
Data lakes were formed as a solution to storing unstructured data – an alternative to the restrictive nature of data warehouses. But this ease comes
Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of the enterprise data ecosystem without friction.