James Michael Burton - San Francisco CA, US Benjamin Buendia Eloy - Palo Alto CA, US Kenneth William Branson - Los Altos CA, US
Assignee:
Guidewire Software, Inc. - Foster City CA
International Classification:
G06Q 40/08
US Classification:
705 4, 705 35
Abstract:
An insurance product model comprising insurance policy metadata is provided () in a computer memory. The insurance policy metadata may comprise, at least in part, data that describes information that comprises a given corresponding insurance policy. A computer then serves to substantively interpret () this insurance product model to facilitate obtaining supplemental policy-specific data. The supplemental policy-specific data and the insurance policy metadata comprise separate and discrete data models and may, if desired, be stored () separately from one another. So configured, these teachings further support using () the insurance product model and the supplemental policy-specific data to facilitate an insurance-related action.
Geoffrey Clarke - Foster City CA, US Kenneth William Branson - Los Altos CA, US Minh Vu - Milpitas CA, US
Assignee:
Guidewire Software, Inc. - Foster City CA
International Classification:
G06Q 40/08
US Classification:
705 4
Abstract:
Managing risks associated with reinsurance includes: obtaining a plurality of insurance policies, each of the plurality of insurance policies comprising a plurality of coverages; identifying, for each insurance policy in the plurality of insurance policies, a set of coverages that corresponds to a geographical location, a policy level liability, or a covered item; and evaluating, for each identified set of coverages, a corresponding reinsurable risk, the evaluation includes determining a total insured value associated with the corresponding reinsurable risk.
Insurance Product Model-Based Apparatus And Method
James Burton - San Francisco CA, US Benjamin Eloy - Palo Alto CA, US Kenneth Branson - Los Altos CA, US
International Classification:
G06Q 40/00
US Classification:
705004000
Abstract:
An insurance product model comprising insurance policy metadata is provided () in a computer memory. The insurance policy metadata may comprise, at least in part, data that describes information that comprises a given corresponding insurance policy. A computer then serves to substantively interpret () this insurance product model to facilitate obtaining supplemental policy-specific data. The supplemental policy-specific data and the insurance policy metadata comprise separate and discrete data models and may, if desired, be stored () separately from one another. So configured, these teachings further support using () the insurance product model and the supplemental policy-specific data to facilitate an insurance-related action.
Clark Heydon - San Francisco CA, US Kenneth Branson - Los Altos CA, US
International Classification:
G06Q 40/00
US Classification:
705004000
Abstract:
An insurance policy is stored () as a plurality of discrete temporally-sequential policy data revisions. A legally binding revision for a first given date is then determined () by identifying all policy data revisions effective on the first given date and choosing a most temporally recent policy data revision temporally prior to a second given date. When a new policy data revision is () temporally subsequent as compared to a first policy data revision and also comprises a legally effective date range preceding at least in part an effective date range of the first policy data revision, legally non-overlapping policy data revisions are created () for each legally overlapping effective date range as exists between the new policy data revision and all temporally preceding revisions. Each newly-created legally non-overlapping policy data revision comprises changes introduced by the new policy data revision and at least one temporally preceding policy data revision.
Clark Allan Heydon - San Francisco CA, US Kenneth William Branson - Los Altos CA, US
International Classification:
G06Q 40/00 G06F 17/30
US Classification:
705 4, 707769, 707E17014
Abstract:
An insurance policy is stored () as a plurality of discrete temporally-sequential policy data revisions. A legally binding revision for a first given date is then determined () by identifying all policy data revisions effective on the first given date and choosing a most temporally recent policy data revision temporally prior to a second given date. When a new policy data revision is () temporally subsequent as compared to a first policy data revision and also comprises a legally effective date range preceding at least in part an effective date range of the first policy data revision, legally non-overlapping policy data revisions are created () for each legally overlapping effective date range as exists between the new policy data revision and all temporally preceding revisions. Each newly-created legally non-overlapping policy data revision comprises changes introduced by the new policy data revision and at least one temporally preceding policy data revision.
Insurance Product Model-Based Apparatus And Method
Benjamin Buendia Eloy - Palo Alto CA, US Kenneth William Branson - Los Altos CA, US
Assignee:
GUIDEWIRE SOFTWARE, INC. - Foster City CA
International Classification:
G06Q 40/08
US Classification:
705 4
Abstract:
Insurance policy management includes: interpreting an insurance product model to facilitate collecting supplemental policy-specific data, the insurance product model defining structures of a plurality of derived insurance policies; obtaining the supplemental policy-specific data; and performing an insurance-related action based at least in part on the supplemental policy-specific data.