Claims Analysis
Total Claims: 7
Claim 1
Independent Claim
101 words
A computer implemented method of underwriting profitability analysis comprising the steps of: accessing existing databases of historical policy and claims; initiating data mining techniques to the accessed data to extract rules that describe policy holders with homogeneous claim frequency and claim severity characteristics; using the extracted rules to classify policy holders into distinct risk groups, each with its own set of characteristics, including pure premium; and identifying sub-populations of policy holders that distinctly deviate from the expected normal pure premium to allow the insurance business analysts to interactively adjust the eligibility criteria and examine altered characteristics of the covered risk groups.
Claim 2
Dependent Claim
56 words
The computer implemented method of underwriting profitability analysis recited in claim 1 wherein the method is implemented on a client server platform that employs network centric language technology, thereby allowing a server based analytic methodology that can be simultaneously accessed across an intranet or Internet by several decision makers, from diverse function areas in a firm.
Claim 3
Dependent Claim
59 words
The computer implemented method of underwriting profitability analysis recited in claim 2 wherein the method is implemented using an Internet enabled software platform wherein the application interface is controllable by a user running a light weight Internet client and wherein the data intensive and computer intensive work is performed on a server on a network connected to the Internet.
Claim 4
Dependent Claim
167 words
A computer implemented method of underwriting profitability analysis comprising the steps of: accessing existing databases of historical polic and claims; initiating data mining techniques to the accessed data to extract rules that describe policy holders with homogeneous claim frequency and claim severity characteristics; using the extracted rules to classify policy holders into distinct risk groups, each with its own set of characteristics, including pure premium; and identifying sub-populations of policy holders that distinctly deviate from the expected normal pure premium to allow the insurance business analysts to interactively adjust the eligibility criteria and examine altered characteristics of the covered risk groups, wherein the step of accessing existing databases comprises the steps of: displaying databases for selection by a user; responding to a user selection of a database by requesting data from data storage and computing univariate statistics; updating and parsing meta-data and returning updated and parsed meta-data in response to the data request; and generating and displaying a data summary of the returned updated and parsed meta-data.
Claim 5
Dependent Claim
70 words
The computer implemented method of underwriting profitability analysis recited in claim 4 wherein the step of initiating data mining techniques comprises the steps of: responding to a user selection of a data set for a data mining operation by mining data in the selected data set to produce policy pure premium prediction rules and storing the rules; and displaying a data summary of rule sets from the data mining operation.
Claim 6
Dependent Claim
63 words
The computer implemented method of underwriting profitability analysis recited in claim 5 wherein the step of using the extracted rules to classify policy holders into distinct risk groups comprises the steps of: responding to a user selection of a rule set by displaying summary statistics of the selected rule set; and editing the rule set in response to editing commands from the user.
Claim 7
Dependent Claim
57 words
The computer implemented method of underwriting profitability analysis recited in claim 6 wherein the step of identifying sub-populations of policy holders comprises the steps of: receiving user input specified data set, rule set and product eligibility criteria; segmenting the data set by eligibility criteria and rule set; and displaying a segmentation table of the segmented data set.