AGGREGATION AND CORRELATION OF DATA FOR LIFE MANAGEMENT PURPOSES
First Claim
1. A computer-implemented method of aggregating and correlating data, the method comprising:
- receiving, via one or more processors, a set of data from an individual wherein the set of data includes at least two different types of data selected from the group of data types consisting essentially of;
home data, vehicle data, personal health data and finance data;
analyzing, via one or more processors, the set of data to determine patterns for each type of data in the set;
correlating, via one or more processors, each of the determined patterns for each type of data in the set with one another to determine one or more underlying factors associated with each of the determined patterns; and
providing, via one or more processors, recommendations to the individual for each of the determined patterns based on the determined one or more underlying factors associated with each of the determined patterns.
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Accused Products
Abstract
A method and computer system aggregates and correlates various types of data from an individual for life management purposes. As an example, the various types of data may include home data, vehicle data, and personal health data associated with the individual. The method and system may receive the various types of data from the individual and analyze each type of data to determine patterns associated with each type of data. The method and system may then compare each of the determined patterns with one another to determine any underlying factors and correlations that may be affecting each of the determined patterns. Based on the determined underlying factors and correlations for each of the determined patterns, the method and system may provide the individual with various benefits such as personalized recommendations, insurance discounts, and other added values or services that the individual can use to better manage and improve his or her life.
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Citations
14 Claims
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1. A computer-implemented method of aggregating and correlating data, the method comprising:
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receiving, via one or more processors, a set of data from an individual wherein the set of data includes at least two different types of data selected from the group of data types consisting essentially of;
home data, vehicle data, personal health data and finance data;analyzing, via one or more processors, the set of data to determine patterns for each type of data in the set; correlating, via one or more processors, each of the determined patterns for each type of data in the set with one another to determine one or more underlying factors associated with each of the determined patterns; and providing, via one or more processors, recommendations to the individual for each of the determined patterns based on the determined one or more underlying factors associated with each of the determined patterns. - View Dependent Claims (2, 3, 4, 6, 7, 8)
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5. (canceled)
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9. A non-transitory computer-readable storage medium including computer-readable instructions to be executed on one or more processors of a system for aggregating and correlating data from an individual, the instructions when executed causing the one or more processors to:
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receive a set of data from the individual wherein the set of data includes at least two different types of data selected from the group of data types consisting essential of;
home data, vehicle data, personal health data and finance data;analyze the set of data to determine patterns for each type of data in the set; correlate each of the determined patterns for each type of data in the set with one another to determine one or more underlying factors associated with each of the determined patterns; and provide recommendations to the individual for each of the determined patterns based on the determined one or more underlying factors associated with each of the determined patterns. - View Dependent Claims (10, 11, 12)
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13. A computer system for aggregating and correlating data from an individual, the system comprising:
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a plurality of data repositories, each data repository storing a different type of data from the individual; a data pattern repository; and a data server, including a memory having instructions for execution on one or more processors, wherein the instructions, when executed by the one or more processors, cause the data server to; receive a set of data from the plurality of data repositories wherein the set of data includes at least two different types of data selected from the group of data types consisting essentially of;
home data, vehicle data, personal health data and finance data;analyze the set of data to determine patterns for each type of data in the set; store each of the determined patterns in the data pattern repository; correlate each of the determined patterns for each type of data in the set with one another to determine one or more underlying factors associated with each of the determined patterns; provide, via a network connection, recommendations to the individual for each of the determined patterns based on the determined one or more underlying factors associated with each of the determined patterns; and display, via a network connection, the recommendations to the individual. - View Dependent Claims (14)
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Specification