Name Matching Algorithms in Identity Verification: How Ellisa Boosts Transaction Monitoring
In today’s data-driven financial sector, banks and other institutions handle immense volumes of transactions and customer information. Accurate name matching is a crucial component of identity verification and transaction analysis, helping to mitigate errors caused by typos, variant spellings, or aliases. This article reviews key algorithms for name comparison, including Jaro-Winkler, phonetic methods (Soundex and Metaphone), Edit Distance (Damerau-Levenshtein), and Name Fingerprinting. It then examines how Ellisa, an advanced solution for transaction monitoring, leverages these algorithms to enhance data analysis and improve oversight of customer activities. By integrating multiple matching techniques and providing in-depth reporting, Ellisa allows financial institutions to streamline their processes and maintain a higher level of data integrity.