One of the advantages of using analytics for P&C insurance is the ability to more effectively create a rating structure or to better price premiums for a given policy. But challenges remain on how to build the best tools in this area, particularly in the development of multivariate analysis (MVA)...
One of the advantages of using analytics for P&C insurance is the ability to more effectively create a rating structure or to better price premiums for a given policy. But challenges remain on how to build the best tools in this area, particularly in the development of multivariate analysis (MVA)...
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{
"author": {
"name": "Richard Boire",
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"articles": [
{
"uri": "/2011/08/03/building-predictive-models-that-estimate-differentials-for-pc-claim-risk/",
"title": "Building Predictive Models that Estimate Differentials for P&C Claim Risk",
"byline": "Richard Boire",
"kicker": "Commentary",
"prettyDate": "August 03, 2011",
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"summary": "The advent of the data mining discipline allows actuaries to leverage the use of more advanced techniques and overcome data obstacles.",
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},
{
"uri": "/2011/05/18/why-actuaries-and-data-miners-should-huddle-up/",
"title": "Why Actuaries and Data Miners Should Huddle Up",
"byline": "Richard Boire",
"kicker": "Commentary",
"prettyDate": "May 18, 2011",
"timeToRead": "3 minute",
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"summary": "One of the advantages of using analytics for P&C insurance is the ability to more effectively create a rating structure or to better price premiums for a given policy. But challenges remain on how to build the best tools in this area, particularly in the development of multivariate analysis (MVA)...",
"body": null
},
{
"uri": "/2011/05/18/why-actuaries-and-data-miners-should-huddle-up/",
"title": "Why Actuaries and Data Miners Should Huddle Up",
"byline": " Richard Boire ",
"kicker": "Commentary",
"prettyDate": "May 18, 2011",
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"authors": [
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],
"summary": "One of the advantages of using analytics for P&C insurance is the ability to more effectively create a rating structure or to better price premiums for a given policy. But challenges remain on how to build the best tools in this area, particularly in the development of multivariate analysis (MVA)...",
"body": null
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]
}
}