What's Included
Probabilistic vs. Deterministic Record Linkage
The traditional deterministic approach of developing rules for matching records between datasets is time-consuming, tedious, inefficient, and impractical as the quantity of records and data sources continually increases. Our probabilistic record linkage solution does not require exact value matching but instead leverages fuzzy logic to identify matches—expanding linked sets and improving useful insights.
Probabilistic Record Linkage Architecture and Methodology
The Resultant proprietary probabilistic matching algorithm utilizes fuzzy hashing to link approximately equal personal identification information (PII) records together. Detailed and customizable system architecture methodologies are discussed for either scalable on-prem server solutions or cloud-based systems.
Applications of Probabilistic Record Linkage
A probabilistic record linkage system provides a fast, accurate, and secure way to match nearly unlimited records over multiple organizations or departments. The system can be used to develop longitudinal records of a person with different points of interaction, understand behavioral patterns, and conceptualize policy and practices implications on an aggregate level.
We’re proud to help organizations thrive, and we’d love to tell you more.
