Fair Isaac Corporation

Id Analytics, Inc.

Guowei Wu

Stephen V Coggeshall

Yinghua Lin

Darcy Walker

Mona Mayr

Shanji Xiong

Jianjun Xie

Quan Lu

A computerized method and system for evaluating customers of a financial institution using customer relationship value tags associated customer treatment actions includes automatically analyzing information about a customer from a database of the financial institution by a customer assessment engine using a predefined statistical model to assess the value of the customer to the financial institution. At least one customer treatment action associated with the assessed value is identified by the assessment engine, and the assessment engine marks a file associated with the customer with a mark representing the assessed value and the associated customer treatment action. The marked file is then accessed by other financial systems of the financial institution, or by customer representatives of the financial institution, and the associated customer treatment action is implemented by such systems or representatives in dealing with the customer.

Method and system for evaluating customers of a financial institution using customer relationship value tags

A technique is provided for determining credit ratings without the need for traditional credit bureau data. In at least one embodiment of the invention, a method comprises the steps of providing a network of linked identity records, each identity record comprising identity related information; receiving an identity record comprising identity related information of the entity; linking the received identity record with at least one of the identity records in the network of linked identity records, quantifying a plurality of linked identity records related to the entity; and generating a credit rating for the entity based on the quantified identity records. Application of the invention is particularly useful for individuals with less than a few years credit behavior recorded on a credit bureau, such as immigrants or young people with limited traditional historical information ('thin file') and individuals with no traditional historical information ('no hit').

System and method for credit scoring using an identity network connectivity

A computerized method and system for evaluating customers of a financial institution using customer relationship value tags and associated customer treatment actions includes automatically analyzing information about a customer from a database of the financial institution by a customer assessment engine using a predefined statistical model to assess the value of the customer to the financial institution. At least one customer treatment action associated with the assessed value is identified by the assessment engine, and the assessment engine marks a file associated with the customer with a mark representing the assessed value and the associated customer treatment action. The marked file is then accessed by other financial systems of the financial institution, or by customer representatives of the financial institution, and the associated customer treatment action is implemented by such systems or representatives in dealing with the customer.

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Charlotte, NC, United States of America

Guowei Wu