Multi-variable assessment systems and methods that evaluate and predict entrepreneurial behavior | Patent Publication Number 20180060781
US 20180060781 A1Patent NumberUS 10108919 B2
Application Number15787666
Filled DateOct 18, 2017
Priority DateMar 31, 2014
Publication DateMar 1, 2018
Original AssigneeKountable Inc.
Current AssigneeKountable Inc.
Inventor/ApplicantsCraig M. Allen
Catherine Nomura
Christopher Hale
Catherine Nomura
Christopher Hale
International
2
G06F
G06Q
National
0
Field of Search
0
No data available
1. A method, comprising: obtaining entrepreneur data related to personal skills data, business history data, and social network data for the entrepreneur across a plurality of network modalities, the plurality of network modalities comprising social networks, phone records, and message records; determining business event information for business events identified between the entrepreneur and contacts of the entrepreneur found in the entrepreneur data; categorizing social media communications for the entrepreneur from the entrepreneur data; determining a distribution of the social media communications between business and friendly; inferring diversification, breadth, and seriousness of the entrepreneur from the distribution; analyzing phone records, SMS messages, and email messages for the entrepreneur for time, duration, and contact; determining any of currentness, originating party, sequences of SMS messages, frequency of SMS messages with the contacts, time of day, sequences of calls, frequency of calls with the contacts, time of day, and combinations thereof; determining contact clusters of email addresses for the contacts; determining category distributions and linkages between the entrepreneur and the contacts; and performing a dynamic measurement of engagement between the entrepreneur and the contacts by looking for contacts between the entrepreneur and the contacts that cross the plurality of network modalities including social media, phone records, SMS messages, and email messages, wherein the dynamic measurement comprises an entrepreneur score for the entrepreneur. 12. A multi-loci modeling method, the method comprising: obtaining for plurality of individuals, entrepreneur data related to personal skills data, business history data, and social network data for the entrepreneur across a plurality of network modalities; extracting attributes from the entrepreneur data; and performing a multi-loci modeling by: applying attribute weightings to each of the attributes extracted for the individuals; grouping the individuals into customer clusters in such a way that a variation between individuals is maximized relative to a group business measurement; calculating a centroid of each of the customer clusters; comparing a target individual to the customer clusters; determining the attribute weightings that provides greatest variation in clusters; determining a best performing cluster for the target individual, wherein the best performing cluster is a customer cluster of the customer clusters with a shortest distance between the target individual and the customer cluster; and providing the target individual with a business opportunity that matches their best performing cluster.
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