How to Improve the Quality of Householding Data and Better Understand Your Customers
A household consists of multiple separate accounts that belong to individuals who are related and are physically living together.
A household consists of multiple separate accounts that belong to individuals who are related and are physically living together.
Data errors today can easily cascade into millions in losses and poor data quality can cost businesses up to 31% of their revenue. As the
A data cleansing tool is perhaps the most powerful and yet the most underestimated solution. Companies spend millions of dollars in procuring cloud solutions and
Data scrubbing, also commonly known as data cleaning is a process that refines your data by removing duplicates and fixing unstructured content. If you’ve been
States across the U.S. are ramping up their data efforts in deploying statewide longitudinal data systems (SLDS) that contain information on public school students. The
Fewer than half (49%) of data practitioners have high trust in their data. The rest are navigating critical business decisions with incomplete, inconsistent, and inaccurate
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
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
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
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
“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
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