NetOwl EntityMatcher is intelligent identity resolution software that addresses the needs of many critical entity matching applications. These applications call for accurate, fast, and scalable matching of entity records based not only on similarities of the entity names but also other key entity attributes such as date of birth, place of birth, and nationality, as well as social network information such as employer, spouse, associate, etc.

NetOwl EntityMatcher performs identity resolution based on any combination of available record attributes by utilizing its unique proprietary search and indexing engine that allows combination of evidence from multiple matching attributes in a highly robust, scalable, and intuitive fashion.

NetOwl EntityMatcher leverages our industry’s leading multicultural, multi-lingual name matching product, NetOwl NameMatcher, to enable sophisticated name matching of various entity types across different languages and perform scalable, high-accuracy identity resolution. Accuracy of name matching of various types, such as people, organizations, places, and addresses, is crucial in identity resolution which requires name matching for all the record attributes where names are the values. These record attributes include, for example, employer, spouse, child, associate, and place of birth.

NetOwl EntityMatcher provides key capabilities to meet the identity resolution challenges in many industries including:

• Fraud, Waste, and Abuse (e.g., Medicare/Medicaid, Tax, Insurance)
• Homeland Security (e.g., Terrorist Watch Lists, Visa Screening)
• Law Enforcement (e.g., Fusion Centers)
• Regulatory Compliance (e.g., Know Your Customer, Politically Exposed People, OFAC)
• Anti-Money Laundering (AML)
• Customer Relationship Management (CRM)
• Master Data Management (MDM)
• Electric Health Records (EHR)

With an approach that is unique, empirically driven, and leverages probabilistic machine learning, NetOwl EntityMatcher provides highly accurate, scalable, and flexible automated entity matching that is fully tunable and configurable for many different applications. Combined with NetOwl Extractor, NetOwl is the only product suite that performs identity resolution across both unstructured and structured data seamlessly.

Features

Accurate

Achieves high accuracy using intelligent, probabilistic, entity matching rules derived from large-scale, real-world, multi-ethnicity name and other attribute data. Seamlessly combines evidence from multiple entity attributes to maximize accuracy.

Fast

Matches an entity query against tens of millions or more entity records with sub-second response times.

Tunable

Delivers superior matching performance out-of-the-box, yet can be easily tuned to accommodate specific entity matching guidelines.

Scalable

Scales to hundreds of millions of entity records.

Discovery

Finds entity records with particular entity values without knowing which attributes they belong to — extremely useful for discovering hidden links among entities.

Flexible

The embedded robust parsing component, as well as the flexible and thorough matching technology, dramatically reduces the need for preliminary data cleansing.

Cross-lingual

Leverages NetOwl NameMatcher’s cross-lingual matching capabilities to support searching an entity query in one language/script against entity records written in other languages/scripts.

Benefits

• Enhances national security by detecting entity records of interest with high accuracy
• Reduce fraud, waste, and abuse by discovering identity-related crimes
• Addresses regulatory compliance more effectively and efficiently
• Handles identity resolution needs globally by supporting multiple languages and scripts