Every KYC check runs on customer records the institution already holds, so screening engines, risk models, and monitoring rules can only be as accurate as
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
Entity resolution is the process of identifying which records across one or more systems refer to the same real-world person, company, or object, and then
Deterministic matching links two records only when specified fields agree exactly, like an identical account number. Probabilistic matching links records based on a calculated likelihood
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
Quick Verdict The best fuzzy matching tool depends on the scale of the project, data sources, and technical resources available. DataMatch Enterprise is best suited
When two companies merge, their customer databases merge in name only. The same customer often exists under different account IDs, spelled differently, and formatted according
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
A few years ago, McKinsey’s Global Data Transformation Survey found that organizations spend an average of 30% of their total enterprise time on non-value-added tasks
