Supplemental review process determination utilizing advanced analytics decision making model
First Claim
1. A system to automatically identify electronic records to be routed to a supplemental insurance review process comprising:
- (a) a data store containing a plurality of historical electronic records comprising determinate historical data originating from determinate data sources, and indeterminate historical data originating from indeterminate data sources, and a batch of electronic records representing a potential new risk association with an entity, wherein each record in the batch of electronic records contains a record identifier and a set of record characteristic values including at least;
one record characteristic value representing a characteristic of the entity,one record characteristic value representing an original source of the each record, andone record characteristic value representing third-party data;
(b) an application computer server coupled to the data store including at least one processor and a non-tangible, computer readable medium storing programmed instructions configured to;
extract the indeterminate historical data from raw files;
store the indeterminate historical data, the determinate historical data, and the data representing potential new risk associations in the data store;
train a plurality of independent analytics decision making models using the stored indeterminate and determinate historical data, wherein the plurality of trained independent analytics decision making models apply statistical techniques including at least machine learning, and wherein at least one of the plurality of independent analytics decision making models is associated with a probability, p, of an electronic record representing a potential new risk undergoing a supplemental review process defined as;
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Accused Products
Abstract
A system may automatically identify electronic records to be routed to a supplemental review process via an automated back-end application computer server. The system may include a data store containing electronic records, each electronic record representing a potential new risk association with an entity, and each electronic record may contain a record identifier and a set of record characteristic values. The computer server may then access the electronic records and automatically generate, by an advanced analytics decision making model based on the record characteristic values, a supplemental review process indication for the potential new risk association of each entity. Indications representing the supplemental review process indications may be transmitted in connection with an interactive user interface display and it may be arranged for electronic records having supplemental review process indications that meet a pre-determined condition to be automatically routed such that those electronic records will undergo the supplemental review process.
15 Citations
15 Claims
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1. A system to automatically identify electronic records to be routed to a supplemental insurance review process comprising:
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(a) a data store containing a plurality of historical electronic records comprising determinate historical data originating from determinate data sources, and indeterminate historical data originating from indeterminate data sources, and a batch of electronic records representing a potential new risk association with an entity, wherein each record in the batch of electronic records contains a record identifier and a set of record characteristic values including at least; one record characteristic value representing a characteristic of the entity, one record characteristic value representing an original source of the each record, and one record characteristic value representing third-party data; (b) an application computer server coupled to the data store including at least one processor and a non-tangible, computer readable medium storing programmed instructions configured to; extract the indeterminate historical data from raw files; store the indeterminate historical data, the determinate historical data, and the data representing potential new risk associations in the data store; train a plurality of independent analytics decision making models using the stored indeterminate and determinate historical data, wherein the plurality of trained independent analytics decision making models apply statistical techniques including at least machine learning, and wherein at least one of the plurality of independent analytics decision making models is associated with a probability, p, of an electronic record representing a potential new risk undergoing a supplemental review process defined as; - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method to automatically identify electronic records to be routed to a supplemental insurance review process, the method performed via at least one processor and a non-tangible, computer-readable medium storing programmed instructions in an application computer server, the method comprising:
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extracting indeterminate historical data from raw files; storing, in a data store, the indeterminate historical data, determinate historical data originating from determinate data sources, and a batch of electronic records representing a potential new risk association with an entity, wherein each record in the batch of electronic records contains a record identifier and a set of record characteristic values including at least; one record characteristic value representing a characteristic of the entity, one record characteristic value representing an original source of the each record, and one record characteristic value representing third-party data; training a plurality of independent analytics decision making models using the stored indeterminate and determinate historical data, wherein the plurality of trained independent analytics decision making models apply statistical techniques including at least machine learning, and wherein at least one of the plurality of independent analytics decision making models is associated with a probability, p, of an electronic record representing a potential new risk undergoing a supplemental review process defined as; - View Dependent Claims (13)
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14. A non-tangible, computer-readable medium of an automated back-end application computer server, the medium storing instructions that, when executed by the server, cause the processor to perform a method to automatically identify electronic records to be routed to a supplemental insurance review process, the method comprising:
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extracting indeterminate historical data from raw files; storing, in a data store, the indeterminate historical data, determinate historical data originating from determinate data sources, and a batch of electronic records representing a potential new risk association with an entity, wherein each record in the batch of electronic records contains a record identifier and a set of record characteristic values including at least; one record characteristic value representing a characteristic of the entity, one record characteristic value representing an original source of the each record, and one record characteristic value representing third-party data; training a plurality of independent analytics decision making models using the stored indeterminate and determinate historical data, wherein the plurality of trained independent analytics decision making models apply statistical techniques including at least machine learning, and wherein at least one of the plurality of independent analytics decision making models is associated with a probability, p, of an electronic record representing a potential new risk undergoing a supplemental review process defined as; - View Dependent Claims (15)
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Specification