Teachers Insurance and Annuity Association of America

Wells Fargo Bank, N.a.

John V Hintze

Alexis Salvatore Pecoraro

Daniel R Hursh

James G Rauscher

Pankaj Agrawal

Edward J Miller, Jr

Kevin D Oden

Jason Hilliard

Simon Cann

Tapan Shah

Steve Cardinale

Casey A Bennett

Gregory Bernard Bahns

Gregory B Bahns

Disclosed are methods and systems for model-based data transformation. An example method includes: receiving a source graph model describing a source data structure, wherein the source graph model comprises a source root node associated with a plurality of source section nodes, wherein each source section node of the plurality of source section nodes is associated with at least one source attribute node; receiving a target graph model describing a target data structure, wherein the target graph model comprises a target root node associated with a plurality of target section nodes, wherein each target section node of the plurality of target section nodes is associated with at least one target attribute node; receiving a transformation map associating a target attribute node of the target data structure with one or more source attribute nodes of the source data structure; extracting, from the source data structure, one or more source data items associated with the one or more source attribute nodes; generating, by applying a transformation specified by the transformation map to the one or more source data items, a target data item associated with the target attribute node; and storing the target data item in the target data structure.

Model-based data transformation

Disclosed are methods and systems for automatically configuring financial product offerings. An example method includes: receiving, by a computer system, a graph model representing a plurality of permutations of definition provisions of a financial product; translating at least a subset of the graph model into definitions of a plurality of business objects; translating the definitions of the plurality of business objects into definitions of a plurality of services to be implemented by an offering of the financial product; receiving, via a user interface, a plurality of service configuration options; applying the plurality of service configuration options to the definitions of the plurality of services; and generating, based on the definitions of the plurality of services, service configuration data for the offering of the financial product.

Model-based configuration of financial product offerings

A model management system receives data for an inventory of models including data regarding issues for each of the models. The model management system determines a model risk score for each of the models based on the issues for each of the models. As the issues are opened and closed, the model management system receives updates and in real-time, updates the model risk score. The model risk score can be determined using a severity assigned to each issue for each of the open issues for a given model as well as the number of issues at each severity. Risk scores can be calculated across a line of business and across an enterprise, for example. The model management system also provides one or more of: model development, model validation, model integration, model use, model maintenance, and model retirement.

Model management system

Growing community of inventors

Charlotte, NC, United States of America

John V Hintze