Identifying golden and unique records across or within datasets is crucial to prevent identity theft, meet compliance regulations, and improve customer acquisition. Banks, government organizations, healthcare providers, and marketing companies all require matching algorithms to identify and deduplicate redundant entries to enrich their master database.
Fuzzy matching is a known set of algorithms for measuring the distance between two similar entities. But certain limitations hinder its effectiveness to quickly find matches for larger, disparate datasets.