An entity graph shows a single match group as a network, with each source record as a node and each match between two records as
DataMatch Enterprise just shipped a REST API, a containerized deployment, and a rebuilt matching engine. In internal testing, the new engine matched 10 million records
Quick Verdict The best data deduplication software depends on where duplicate records exist, how many systems must be reconciled, and the complexity of the matching
The right choice between a deduplication API and batch deduplication comes down to when deduplication needs to happen. If records need to be checked at
In 2025, over a quarter of organizations reported losing more than $5 million annually from poor data quality, according to the IBM Institute for Business
Financial data quality management is the set of processes, ownership structures, and controls that finance and IT teams use to ensure transactional, reference, and master
At some point, most data teams discover the uncomfortable truth that their data isn’t describing reality anymore. A customer exists under four different names across
According to Gartner, poor data quality costs the average enterprise $12.9 million per year. In an ERP environment, where data actively triggers payment runs, inventory
Dedupe software identifies and removes duplicate records from databases, CRMs, and other data systems so organizations maintain a single, accurate version of each record. Also
Written by Data Ladder’s data quality team, drawing on 15+ years of experience helping enterprises match and deduplicate datasets across healthcare, finance, and government. 📋
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
What if you could access all your business data—from cloud platforms, databases, and apps—without ever moving it? That’s the magic of data virtualization, the silent
