SYSTEMS AND METHODS FOR MARKET PARTICIPANT-BASED AUTOMATED DECISIONING
One embodiment includes an environment and system for analyzing, including predictive analysis of, various data associated with industry participants, processing the data to generate one or more participant influence scores and/or to identify key opinion leaders, and for utilizing such data to assess or optimize a practice, company, product or service, and/or to automate decisions regarding a company's operations, product development, marketing and/or allocation of resources.
1 . A system for generating an influence score for a participant, the system comprising:
a data store that stores information associated with a plurality of participants, wherein at least a portion of the information associated with each participant relates to participation of the participant in an interactive community; and
a computing device in communication with the data store and that is configured to:
determine a participant reputation and influence score associated with each of the one or more of the plurality of participants, wherein the participant reputation score for a given participant is based at least in part on at least one of a volume of business associated with the participant, a number of publications by the participant, quality of input received by the participant, or feedback received regarding the participant;
determine a participant participation score associated with each of the one or more of the plurality of participants based at least in part on information retrieved from the data store; and
generate a participant influence score associated with each of the one or more of the plurality of participants based at least in part on the determined participant reputation scores and the determined participant participation scores.
2 . The system of claim 1 , wherein the computing device is further configured to:
electronically receive feedback regarding at least one product of a target, wherein the feedback is provided by one or more of the plurality of participants; and
initiate an automated decision action based at least in part by aggregating the feedback from the one or more participants and assigning a weight to feedback received from each participant based at least in part on the influence score for the participant.
3 . The system of claim 1 , wherein the computing device is further configured to:
electronically receive feedback regarding at least one product of a target, wherein the feedback is provided by one or more of the plurality of participants; and
generate a target assessment report based at least in part by aggregating the feedback from the one or more participants and assigning a weight to feedback received from each participant based at least in part on the influence score for the participant.
4 . The system of claim 3 , wherein the report assesses a target for potential acquisition.
5 . The system of claim 3 , wherein the report assesses a target in order to recommend actions related to at least one of operations, marketing, product design, capital investment, and inventory management.
6 . The system of claim 1 , wherein the participants are physicians.
7 . A computer-implemented method for generating a report assessing a target, the computer-implemented method comprising:
as implemented by one or more computing devices configured with specific executable instructions:
electronically receiving feedback regarding at least one product of a target, wherein the feedback is provided by one or more of a plurality of participants;
determining a participant influence score associated with one or more of the plurality of participants; and
generating a target assessment report or initiating an automated decision action based at least in part on the received feedback and the participant influence scores.
8 . The computer-implemented method of claim 7 , wherein the automated decision action relates to at least one of operations, marketing, product design, capital investment, or inventory management.
9 . The computer-implemented method of claim 7 , wherein the report assesses a target for potential acquisition.
10 . The computer-implemented method of claim 7 , wherein the report assesses a target in order to recommend actions related to at least one of operations, marketing, product design, capital investment, and inventory management.
11 . The computer-implemented method of claim 7 , wherein the participants are physicians.
12 . A non-transitory computer-readable medium having a computer-executable component for analyzing a target, the non-transitory computer-readable medium comprising:
a feedback component for electronically receiving feedback regarding at least one product of a target, wherein the feedback is provided by one or more of a plurality of participants;
a scoring component for:
determining a participant reputation score associated with each of the one or more of the plurality of participants; and
determining a participant participation score associated with each of the one or more of the plurality of participants, wherein the participant participation score for a participant is determined based at least in part on an amount of feedback previously provided by the participant; and
an action generation component for generating a target assessment action based at least in part on the received feedback, the determined participant reputation scores and the determined participant participation scores.
13 . The non-transitory computer-readable medium of claim 12 , wherein generating the target assessment action generates an automated decision action related to at least one of operations, marketing, product design, capital investment, and inventory management.
14 . The non-transitory computer-readable medium of claim 12 , wherein generating the target assessment action generates a report to assesses a target for potential acquisition.
15 . The non-transitory computer-readable medium of claim 12 , wherein generating the target assessment action generates report assesses a target in order to recommend actions related to at least one of operations, marketing, product design, capital investment, and inventory management.
16 . The non-transitory computer-readable medium of claim 12 , wherein the participants are physicians
17 . The non-transitory computer-readable medium of claim 12 , wherein the target assessment action is generated based at least in part on feedback received from a plurality of participants.
18 . The system of claim 1 , wherein the participant reputation score for a given participant is based at least in part on a number of publications by the participant
19 . The computer-implemented method of claim 7 , wherein the feedback is provided by two or more of the plurality of participants.
20 . The computer-implemented method of claim 19 , wherein a participant influence score is determined for each of the two or more of the plurality of participants.