Match Identities and Entities in Disparate Data

Match across multiple data sources without datawarehousing, ETL, or other data-deterioration processes such as cleansing

Can you really match identities/entities across multiple, disparate data sources without datawarehousing, ETL, or data cleansing? With Identity Resolution Engine, everything you need is integrated into a single solution.

Identity Resolution and Entity Analytics are names for advanced operational business intelligence tools that allow organizations to glide across disparate – possibly remote – sources of data to understand possible matches and non-obvious relationships. To do that, an identity resolution engine must use attribute-specific matching algorithms that take into account variances in structures and spellings of different attributes AND be able to pinpoint subtle relationships or clusters within a variety of unlike data sources.

Any true identity resolution engine must not consist simply of a mathematical matching equation, nor must it rely upon data-deterioration processes such as ETL and data warehousing. Math cannot tell a user that Ian is an acceptable nickname for John, nor can simple mathematical equations point to similarities between the colors grey and charcoal.  Only an identity resolution engine – not a generic matching tool – has the capabilities required for mission-critical functionality within the enterprise.

Our Identity Resolution Engine™ uses over 50 domain-specific Similarity Search algorithms, each with its own intellectual property, to compare many different types of attributes. Data matching tools reduce the amount of available data by combining "like" entities. The goal is "de-duping" and standardization of the data, and typical responses are simply "yes it's a match" or "no it's not a match."  While fine for basic MDM and data warehousing efforts, it's not so great when you're trying to retain the data for future analysis in mission-critical applications. Since the diversity of the data contains valuable forensic information about how identities and entities are matched or linked, losing data is not an option.

With ten years of R&D, we've perfected the combination of lexigraphic algorithms with over 50 domain-specific algorithms to deliver a high degree of precision that precludes false positives and false negatives – something that can't be approached using a single generic equation.  For example, DHS's Secure Flight program required true identity resolution, and that's why we won that business over hundreds of others.

Click here to learn how identity resolution works.