Fuzzy matching names is a challenging and fascinating problem, because they can differ in so many ways, from simple misspellings, to nicknames, truncations, variable spaces, spelling variations, and names written in different languages. There are also culturally different ways to form nicknames. Though each of these challenges appears unique, all can be addressed using the same solution: trustworthy text analytics. With data flowing with ever greater volume, velocity, and variety, increasingly your success is dependent upon indexing and search infrastructure which is highly scalable and secure.
Why Fuzzy Name Search ?
Intelligence agencies require reliable identity resolution to fight terrorism and protect citizens.
Border-control officers need accurate identity matches to fairly enforce immigration policies.
Social service agencies with disparate databases must reconcile client identity, to both ensure benefits go to eligible people, and to eliminate fraud.
Law enforcement seeks predictive capabilities to protect civilians from the potential danger of violence during demonstrations and periods of civil unrest.
Financial regulators need accurate screening for public figures and financial institutions against watch lists across geographic, cultural, and national boundaries.
Platform now supports algorithmic smarts to postal addresses the same way it does for personal names.
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