Teradata Us, Inc.

Ncr Corporation

Pieter Lessing

Mark Crosby

Stephen Andrew Brobst

Sreedhar Srikant

Dennis Jeng

David W Hubbard

Kim Nguyen Hargett

William A Matera

Lily W Young

A computer implemented method of and system for capturing, storing and organizing quality feedback information associated with products sold by a retail enterprise. The quality feedback information is stored and organized within a relational database in accordance with a logical data model comprising a plurality of entities and relationships defining the manner in which quality feedback information is stored and organized within the relational database. The relational database, populated with quality feedback information, provides the retail enterprise with the means to analyze and improve retail operations, to better manage store inventory, and more efficiently manage product sales and returns.

System and method for capturing and storing quality feedback information in a relational database system

A revenue management system for a travel provider, such as airline, a car rental agency, a cruise line, a lodging provider; a travel agency; a bus line or a passenger rail service provider. The revenue management system comprises a database for storing revenue, product and service, and customer information; a logical data model comprising a plurality of entities and relationships defining the manner in which the revenue, product and service, and customer information is stored and organized within the database; and a revenue management application for analyzing the revenue, product and service, and customer information contained within the database to manage inventory, pricing and demand forecasting for the travel provider. Analysis of Passenger Name Record (PNR), booking, ticketing, inventory, schedule, authorization adjustment and flown/ticket lift data maintained within the database enables a travel provider to identify fraudulent and improper booking and ticketing activity, or an airline to determine optimal passenger and revenue mix for airline flights.

System and method for capturing, storing and analyzing revenue management information for the travel and transportation industries

A logical data model (LDM) design methodology that utilizes common or shared subject areas, developed for applications across two or more industries, in the design and construction of data warehouse solutions and logical data models for specific customers. The development and use of shared subject areas provides for more effective new LDM development through re-use of common elements and quicker deployment of horizontal applications on all industries.

Method for developing data warehouse logical data models using shared subject areas

Growing community of inventors

Los Angeles, CA, United States of America

Pieter Lessing