Data integration and analysis
First Claim
Patent Images
1. A computer program product embodied in a non-transitory computer readable medium that, when executing on one or more computing devices, performs the steps of:
- identifying a data set including;
characteristics of a population of consumers within a geographic area partitioned into sectors;
ancillary data from at least two sources describing, on a sector-by-sector basis, consumer behaviors within the geographic area, wherein one of the sources is a panel data source;
identifying, using a first data source, a first propensity of consumers in a first sector to engage in a specified behavior by computing a ratio of a number consumers in the first sector who engage in the specified behavior to a total number of consumers in the first sector;
identifying, using a second data source, a modeled second propensity of consumers in the first sector to engage in the specified behavior, wherein the data set does not include data sufficient to compute an actual second propensity corresponding to the modeled second propensity; and
using the first propensity and the modeled second propensity, identifying a third and fourth modeled propensities of consumers in a second sector to engage in the specified behavior with, respectively, the first and second data sources, wherein the data set does not include data sufficient to compute an actual third and forth propensities corresponding to the third and fourth modeled propensities.
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Abstract
Uncorrelated data from a variety of sources, such as consumer panels or retailer points of sale, are combined with maximal coverage of a universal data set for a population in a manner that permits useful inferences about behaviorial propensities for the population at an individual or household level.
39 Citations
13 Claims
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1. A computer program product embodied in a non-transitory computer readable medium that, when executing on one or more computing devices, performs the steps of:
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identifying a data set including; characteristics of a population of consumers within a geographic area partitioned into sectors; ancillary data from at least two sources describing, on a sector-by-sector basis, consumer behaviors within the geographic area, wherein one of the sources is a panel data source; identifying, using a first data source, a first propensity of consumers in a first sector to engage in a specified behavior by computing a ratio of a number consumers in the first sector who engage in the specified behavior to a total number of consumers in the first sector; identifying, using a second data source, a modeled second propensity of consumers in the first sector to engage in the specified behavior, wherein the data set does not include data sufficient to compute an actual second propensity corresponding to the modeled second propensity; and using the first propensity and the modeled second propensity, identifying a third and fourth modeled propensities of consumers in a second sector to engage in the specified behavior with, respectively, the first and second data sources, wherein the data set does not include data sufficient to compute an actual third and forth propensities corresponding to the third and fourth modeled propensities. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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Specification