The Dun Bradstreet Corporation

John Mark Nicodemo

Anthony J Scriffignano

Michael Klein

Robin Fry Davies

Kimberly Rounds

Bethany Dekker

Barry Rizzolo

Karma Hara

Michael R Young

David Hanuschak

David A Spingarn

Laurie Shimer

A multidimensional recursive and self-perfecting process used to discover dyadic or multi-counterparty relationships between parties, the process comprising: (a) collecting information from a plurality of data sources; (b) discovering dyadic or multi-counterparty relationships between the parties from the collected information; (c) clustering the parties to infer the dyadic or multi-counterparty relationships between the parties based on common or partially intersecting attributes between the parties, thereby forming clustered parties; (d) evaluating the clustered parties for business linkage potential by integrating the collected information and contextually assessing indicia from the data sources to detect and measure consistency and inconsistency for a given party or dyadic or multi-counterparty relationship; (e) positing and evaluating relationship type and role said party plays in each relationship; and (f) assessing the confidence level regarding the likelihood that the dyadic or multi-counterparty relationship exists between the parties.

Multidimensional recursive learning process and system used to discover complex dyadic or multiple counterparty relationships

There is provided a method that includes (i) receiving a first record that contains an identity of an individual, a name of a business, and a role of the individual in the business, (ii) matching the first record to data that provides a unique business identifier for the business, (iii) matching the first record to data that provides a unique individual identifier for the individual, (iii) appending to the first record (a) the unique business identifier, (b) the unique individual identifier, and (c) a unique role identifier for the role of the individual in the business, (iv) matching the first record to a second record based on the unique business identifier, the unique individual identifier, and the unique role identifier, and (v) consolidating the first and second records into a resultant record.

System and method for aggregation and association of professional affiliation data with commercial data content

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Bethlehem, PA, United States of America

John Mark Nicodemo