NetOwl performs identity resolution based on any combination of available entity 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.
Application-specific business rules can be implemented by determining what combination of record attributes should be matched and what weights should be assigned to each attribute.
NetOwl leverages our machine learning-based multicultural, multi-lingual name matching product, NetOwl NameMatcher, to enable sophisticated name matching of various entity types across different languages and to perform scalable, high-accuracy identity resolution.
Accuracy of name matching of various entity types – such as people, organizations, places, and addresses – is crucial in identity resolution, as the values of many important record attributes are names of such entity types. For example, spouse (person), child (person), employer (organization), education (organization), place of birth (place), and home address (address).
NetOwl’s identity resolution software supports multiple languages and also handles matching of a name in one language against names in other languages:
Additional languages are on the way.
Identity Resolution is used for mission-critical applications in numerous domains such as:
Maximizes accuracy by leveraging award-winning (MITRE Challenge) name matching technology and seamlessly combining evidence from multiple entity attributes
Performs identity resolution against tens of millions or more entity records with sub-second response times
Highly scalable identity resolution software with Docker and Kubernetes support.
Allows parameter tuning as well as addition of custom rules and dictionaries
An easy-to-integrate identity resolution tool with a REST API
Reduces need for preliminary data cleansing through built-in name parsing and intelligent matching technology
Contact us and discover what NetOwl can do for you!
