EMPI vs Entity Resolution: What Healthcare IT Teams Need to Know
The average healthcare organization carries 8% to 12% duplicate patient records, and in large health systems, that number often rises to 15% to 16%. Patient Identity in Healthcare The
The average healthcare organization carries 8% to 12% duplicate patient records, and in large health systems, that number often rises to 15% to 16%. Patient Identity in Healthcare The
Informatica PowerCenter has powered enterprise data integration for decades. But with its end of standard support set for March 31, 2026, organizations can no longer
In 2022, Unity disclosed a $110 million financial loss after its ad targeting tool ingested flawed data. That same year, Equifax issued inaccurate credit scores
Source- to-target mapping usually gets attention for about five minutes, right before a pipeline goes live. After that, it’s assumed to be “done.” Then months
A name might feel like the simplest identifier, but in enterprise datasets, it rarely is. In the US and UK, for example, “Smith” tops the
If record linkage were as simple as matching names and emails, organizations wouldn’t be sitting on mountains of unleveraged data. In real enterprise environments, naïve
Most data problems don’t show up as dramatic failures. They appear as small problems or hide in plain sight. A number that needs to be
Most companies don’t realize how much time they lose chasing basic facts. But research shows that decision-makers spend nearly 30% of their week (2.4 hours a day) searching for the right data. This is
Choosing the right vendor matching software is only half the challenge. The real value comes from how well you implement it. When done well, it
A typical SMB[1] has an invoice duplication rate of 1.29%. That’s more than $12,000 in potential duplicate payments per month if each goes through. Now
In a poll by CFO Daily News, 86% of accounts payable (AP) professionals admitted their Master Vendor File (MVF) needed work. More than two-thirds said
Mergers and acquisitions (M&A) rarely fail because the lawyers got the paperwork wrong. But they many times do because no one paid enough attention to
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.