Entity Analytics

Highly scalable and accurate name matching and identity resolution capabilities are crucial in many areas, from national security to risk management, anti-fraud, and CRM, to name a few.  Entity data – information about people, organizations, places, and things – can be found not only in English but also in other languages.  Entity data could also come from not only the traditional structured data sources but also from unstructured data, where fusing both types of data poses unique challenges for analysis.

NetOwl offers advanced entity analytics products to meet these unique Big Data challenges.

NetOwl NameMatcher

Accurately and efficiently identifies name variants from large multicultural and multilingual name databases using advanced machine learning and computational linguistic approaches.

NetOwl EntityMatcher

Accurately and efficiently performs identity resolution for large multicultural and multilingual entity databases using advanced machine learning and computational linguistic approaches.