Patent Document ID: 20130124260
Application ID: 13463171
Patent Flag: 0

Claim One:
1. A computer-implemented method for predicting consumer behavior from information stored in a plurality of separate databases, the computer-implemented method comprising: using a processing device, accessing a first database of the plurality of separate databases, the first database comprising a first plurality of data variables associated with survey data obtained from a first plurality of consumers; using a processing device, accessing a second database of the plurality of separate databases, the second database comprising a second plurality of data variables associated with transaction data of a second plurality of consumers, wherein the first plurality of data variables includes data variables that are not included in the second plurality of data variables, and wherein at least some consumers of the second plurality of consumers are not in the first plurality of consumers; identifying at least one qualitative data variable which is in both the first plurality of data variables and the second plurality of data variables; transforming the at least one qualitative data variable into a plurality of quantitative variables; using a processing device, converting at least some of the survey data and transaction data according to the plurality of quantitative variables to form converted information; using a processing device and using the converted information, performing a cluster analysis across the first and second databases to form a plurality of clusters, at least one cluster of the plurality of clusters containing at least some individuals of the first and second databases that are not in both the first and second databases; using a processing device, linking through the plurality of clusters the first and second databases to form an integrated data structure; using a processing device, for a selected cluster of the plurality of clusters, associating a plurality of behavioral characteristics of the consumers of the first plurality of consumers associated with the selected cluster with the consumers of the second plurality of consumers associated with the selected cluster; and using a processing device, predicting consumer behavior for the selected cluster using corresponding data of the selected cluster of the integrated data structure, the corresponding data including the plurality of behavioral characteristics of the selected cluster.