What You’ll Learn
Every duplicate record, missed match, and stalled data project traces back to the same question: is this the same person? This explainer walks through why traditional matching approaches struggle to answer it and how referential matching changes the math. It is a fit for data quality, HIM, and IT teams evaluating matching technology, and for anyone comparing probabilistic, deterministic, and referential approaches.
- Why probabilistic and deterministic matching miss hard cases
- How referential matching uses a reference database to resolve identities
- Where the peer-reviewed 24% accuracy improvement over probabilistic matching comes from
- How better matching reduces duplicates and manual stewardship work
- What referential matching means for downstream interoperability