Apparatuses, methods, and systems for building a risk evaluation product
The present disclosure describes an approach to constructing and implementing risk rating products that provides a number of advantages. Instead of hard-coding attributes of a risk rating scheme, which requires the assistance of a trained programming specialist for any modifications, adjustments, or new products, the present invention provides a set of modular tools that assist non-specialists in on-the-fly generation and implementation of risk rating products. The modularity of this approach facilitates the modification and/or updating of a system component without affecting the operation of other components. Described herein are embodiments of a risk rater data-structure, which comprises an abstracted representation of a risk rating scheme that may be loaded into and/or interpreted by other system components to generate a user interface for processing risk information and generating insurance quotes.
1. A processor-readable electronic non-transitory storage medium storing processor-issuable instructions executable by a processor to:
retrieve a risk rater data structure, said risk rater data structure comprising,
a set of risk rater base criteria, comprising at least a unique risk rater identifier,
a plurality of risk characteristic input fields,
at least one expression comprising a mathematical operation to be performed on at least one risk characteristic received via a subset of the plurality of risk characteristic input fields,
a set of risk rater rule calls, specifying elements of a risk rater ruleset database, and
a set of risk rater lookup table calls, specifying elements of a risk rater lookup tables database; and
generate a risk rater product based on the the retrieved risk rater data structure by dynamically integrating and evaluating risk rater rules, said risk rater rules being referenced by the risk rater rule calls and stored in the risk rater ruleset database external to the risk rater data structure.
2. The processor-readable electronic non-transitorystorage medium of claim 1 , wherein the mathematical operation is further performed on data retrieved via the set of risk rater lookup table calls.
3. The processor-readable electronic non-transitory storage medium of claim 1 , wherein the mathematical operation yields a financial metric associated with a candidate risk.
4. The processor-readable electronic non-transitory storage medium of claim 3 wherein the financial metric comprises a quote reflecting the price for insuring the candidate risk.
5. The processor-readable electronic non-transitory storage medium of claim 1 , wherein the set of risk rater rule calls include at least one call to a risk rater rule referencing at least one risk characteristic.
6. The processor-readable electronic non-transitory storage medium of claim 1 , wherein the set of risk rater rule calls include at least one call to a risk rater rule referencing data retrieved via the set of risk rater lookup table calls.
7. The processor-readable electronic non-transitory storage medium of claim 1 , wherein the data-structure comprises an XML document.
8. The processor-readable electronic non-transitory storage medium of claim 1 , wherein the set of risk rater base criteria further comprises an insurance carrier identifier.
9. The processor-readable electronic non-transitory storage medium of claim 1 , wherein the plurality of risk characteristic fields admit characteristics of a property.
10. The processor-readable electronic non-transitory storage medium of claim 9 , wherein the characteristics of a property include a geocode.
11. The processor-readable electronic non-transitory storage medium of claim 9 , wherein the characteristics of a property include construction characteristics.
12. The processor-readable electronic non-transitory storage medium of claim 1 , wherein the subset of the plurality of the risk characteristic input fields comprises the entire plurality of the risk characteristic input fields.
13. A processor-implemented risk evaluation method, comprising:
retrieving a risk rater data structure, said risk rater data structure comprising,
a set of risk rater base criteria, comprising at least a unique risk rater identifier,
a plurality of risk characteristic input fields,
at least one expression comprising a mathematical operation to be performed on at least one risk characteristic received via a subset of the plurality of risk characteristic input fields,
a set of risk rater rule calls, specifying elements of a risk rater ruleset database, and
a set of risk rater lookup table calls, specifying elements of a risk rater lookup tables database; and
generating a risk rater product based on the the retrieved risk rater data structure by dynamically integrating and evaluating risk rater rules, said risk rater rules being referenced by the risk rater rule calls and stored in the risk rater ruleset database external to the risk rater data structure.
14. A processor-implemented risk evaluation system, comprising:
a memory;
a processor disposed in communication with said memory, and configured to issue a plurality of processing instructions stored in the memory, wherein the processor issues instructions to:
retrieve a risk rater data structure, said risk rater data structure comprising,
a set of risk rater base criteria, comprising at least a unique risk rater identifier,
a plurality of risk characteristic input fields,
at least one expression comprising a mathematical operation to be performed on at least one risk characteristic received via a subset of the plurality of risk characteristic input fields,
a set of risk rater rule calls, specifying elements of a risk rater ruleset database, and
a set of risk rater lookup table calls, specifying elements of a risk rater lookup tables database; and
generate a risk rater product based on the the retrieved risk rater data structure by dynamically integrating and evaluating risk rater rules, said risk rater rules being referenced by the risk rater rule calls and stored in the risk rater ruleset database external to the risk rater data structure.
15. A processor-implemented risk evaluation method, comprising:
receiving risk characteristics inputs via a plurality of risk characteristic input fields;
determining a risk type based on the received risk characteristics inputs;
retrieving a risk rater data structure based on the determined risk type,
the risk rater data structure including a set of risk rater rule calls referencing risk rater rules stored at a risk rater ruleset database external to the risk rater data structure;
dynamically integrating and evaluating risk rater rules referenced by the risk rater rule calls; and
generating risk rating results based on evaluating the risk rater rules.
16. The method of claim 15 , wherein the risk characteristics inputs include a property location.
17. The method of claim 15 , wherein the risk type includes a property casualty event.
18. The method of claim 17 , wherein the property casualty event includes any of a flood, an earthquake and a fire.
19. The method of claim 15 , further comprising:
assessing financial metrics associated with the risk type.
20. The method of claim 19 , wherein assessing financial metrics further comprises any of a standalone assessment and a marginal assessment.