{"id":5740,"date":"2025-08-06T14:31:16","date_gmt":"2025-08-06T14:31:16","guid":{"rendered":"https:\/\/detralytics.com\/?p=5740"},"modified":"2025-09-10T10:10:31","modified_gmt":"2025-09-10T10:10:31","slug":"insurance-analytics-a-primer","status":"publish","type":"post","link":"https:\/\/detralytics.com\/en\/learning\/data-science\/insurance-analytics-a-primer\/","title":{"rendered":"Insurance analytics | Module 1 : A primer"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"5740\" class=\"elementor elementor-5740\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-871de76 e-con-full e-flex e-con e-parent\" data-id=\"871de76\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;shape_divider_bottom&quot;:&quot;tilt&quot;}\">\n\t\t\t\t<div class=\"elementor-shape elementor-shape-bottom\" aria-hidden=\"true\" data-negative=\"false\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 1000 100\" preserveAspectRatio=\"none\">\n\t<path class=\"elementor-shape-fill\" d=\"M0,6V0h1000v100L0,6z\"\/>\n<\/svg>\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a8d5be8 elementor-widget elementor-widget-heading\" data-id=\"a8d5be8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Insurance analytics | Module 1 : A primer\n<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-569330f elementor-widget elementor-widget-heading\" data-id=\"569330f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">M. Denuit, PhD<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4fae3a2 e-con-full e-flex e-con e-parent\" data-id=\"4fae3a2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-ab7afb1 e-con-full e-flex e-con e-child\" data-id=\"ab7afb1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-254f0bc elementor-widget elementor-widget-heading\" data-id=\"254f0bc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Description<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d2e84fd elementor-widget elementor-widget-text-editor\" data-id=\"d2e84fd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Do you feel lost in the random forests? Do you need some career boosting? Would you like to demystify magic words like cross-validation, bagging, shrinkage\u2026 or discover what is hidden behind wild acronyms like GAM, LASSO, GBM, etc. that you heard during meetings or at the coffee machine, without daring to ask for? Do you wonder whether GLMs should still be considered by actuaries, or better archived in a museum dedicated to the history of the actuarial discipline? If affirmative then you should consider attending this intensive course about statistical learning techniques applied to insurance data analysis!<\/p><p>This course has been conceived by actuaries for actuaries, accounting for all the specificities of insurance data instead of simply re-using standard recipes borrowed from other fields. The sessions proceed step by step, recalling the fundamental statistical concepts at the heart of the modern learning techniques and the standard GLM approach, and then moving to GAMs, GBMs and tree-based methods like random forests. Their relative merits are illustrated by means of several case studies with insurance data.<\/p><p>The sessions aim to be interactive, alternating between methodological parts and case studies performed in front of the audience. Participants are invited to bring their own PC. Documentation including data sets and R code is made available through a supporting website. The installation of R packages prior to attendance is required.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-79a6580 elementor-widget elementor-widget-heading\" data-id=\"79a6580\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Program<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d821de4 elementor-widget elementor-widget-text-editor\" data-id=\"d821de4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Part 1 : Introduction to insurance analytics and basic models:<\/b><\/p>\n<ul>\n<li>Fundamental statistical principles underlying the modern learning approaches (training vs validation set, prediction error, cross validation, bootstrap, etc.)<\/li>\n<li>Insurance data specificities (claim numbers with excess of zeros, claim severities mixing attritional and large claims, observational data, selection bias, correlation vs causality, censoring)<\/li>\n<li>Technical vs commercial price list<\/li>\n<li>Recap\u2019 of the current GLM practice, with application to claim reserving, graduation of rates, risk classification<\/li>\n<li style=\"list-style-type: none;\">&nbsp;<\/li>\n<\/ul>\n<p><b>Part 2 : Generalized linear and nonlinear regression models<\/b><\/p>\n<ul>\n<li>Limitations of GLM tools and the need for other techniques<\/li>\n<li>Regularization\/shrinkage for GLMs: Lasso, Ridge and related penalties<\/li>\n<li>First extensions:\n<ul>\n<li>GAMs, penalized and local likelihood<\/li>\n<li>double GLMs, dispersion around the pure premiums<\/li>\n<li>GAMLSS, beyond dispersion with application to claim reserving, graduation of rates, risk classification<\/li>\n<\/ul>\n<\/li>\n<li>Second extension: GAMboost and GBMs\n<ul>\n<li>Forward stagewise regression<\/li>\n<li>Loss functions from exponential dispersion family<\/li>\n<li>Gradients as working responses<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">&nbsp;<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7daa359 e-con-full e-flex e-con e-child\" data-id=\"7daa359\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-07e40ea e-con-full e-flex e-con e-child\" data-id=\"07e40ea\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-355647c elementor-widget elementor-widget-heading\" data-id=\"355647c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Speaker<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2a56262 elementor-widget elementor-widget-image\" data-id=\"2a56262\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"500\" height=\"501\" src=\"https:\/\/detralytics.com\/wp-content\/uploads\/2020\/12\/Michel_Rond.png\" class=\"attachment-full size-full wp-image-2059\" alt=\"Michel Denuit\" srcset=\"https:\/\/detralytics.com\/wp-content\/uploads\/2020\/12\/Michel_Rond.png 500w, https:\/\/detralytics.com\/wp-content\/uploads\/2020\/12\/Michel_Rond-400x400.png 400w, https:\/\/detralytics.com\/wp-content\/uploads\/2020\/12\/Michel_Rond-150x150.png 150w, https:\/\/detralytics.com\/wp-content\/uploads\/2020\/12\/Michel_Rond-100x100.png 100w, https:\/\/detralytics.com\/wp-content\/uploads\/2020\/12\/Michel_Rond-250x250.png 250w, https:\/\/detralytics.com\/wp-content\/uploads\/2020\/12\/Michel_Rond-320x320.png 320w, https:\/\/detralytics.com\/wp-content\/uploads\/2020\/12\/Michel_Rond-146x146.png 146w, https:\/\/detralytics.com\/wp-content\/uploads\/2020\/12\/Michel_Rond-50x50.png 50w, https:\/\/detralytics.com\/wp-content\/uploads\/2020\/12\/Michel_Rond-75x75.png 75w, https:\/\/detralytics.com\/wp-content\/uploads\/2020\/12\/Michel_Rond-85x85.png 85w, https:\/\/detralytics.com\/wp-content\/uploads\/2020\/12\/Michel_Rond-80x80.png 80w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ab825d4 elementor-widget elementor-widget-heading\" data-id=\"ab825d4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Michel Denuit<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd5bef2 elementor-widget elementor-widget-text-editor\" data-id=\"dd5bef2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><em>Scientific Advisor, Detralytics<\/em><br \/><em>Professor, UCLouvain<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0f29719 e-con-full e-flex e-con e-child\" data-id=\"0f29719\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5de7e2a elementor-widget elementor-widget-text-editor\" data-id=\"5de7e2a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Date : <\/b>On-Demand<\/p><p><b><\/b><b>Duration : <\/b>6h<\/p><p><b style=\"letter-spacing: 0.3px; background-color: transparent;\">Accreditation :<\/b><span style=\"letter-spacing: 0.3px; background-color: transparent;\"> 6CPD | 36PPC<\/span><\/p><p><b>Level :<\/b> All<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-678e6db e-con-full e-flex e-con e-child\" data-id=\"678e6db\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-898935e elementor-align-center elementor-widget elementor-widget-button\" data-id=\"898935e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"mailto:learning@detralytics.eu\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Make a Request<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-89b6347 e-con-full e-flex e-con e-parent\" data-id=\"89b6347\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-383049d elementor-widget elementor-widget-heading\" data-id=\"383049d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Acquired skills<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc0d89b elementor-widget elementor-widget-text-editor\" data-id=\"bc0d89b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>After completion of the training session, participants will have acquired a general knowledge of insurance analytics. They will be able to select the appropriate approach for their own data, run the R code and interpret the results.<\/p><p class=\"p2\">One month after the end of the training, a \u00a0follow-up discussion is organized to share experience in implementing the approach that have been presented.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6d47b7c e-con-full e-flex e-con e-parent\" data-id=\"6d47b7c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cc3d72a elementor-widget elementor-widget-heading\" data-id=\"cc3d72a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">About our Speaker<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f8a3f32 elementor-widget elementor-widget-heading\" data-id=\"f8a3f32\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Michel Denuit<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-58dff6d elementor-widget elementor-widget-text-editor\" data-id=\"58dff6d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Michel is an Honorary Scientific Advisor at Detralytics, as well as a professor in actuarial science at the Universit\u00e9 Catholique de Louvain. He has international experience as a visiting professor, and has promoted many projects in collaboration with the industry. At Detralytics, Michel coaches young talents, provides cutting-edge training, fosters innovation and oversees R&amp;D projects.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f526e6c e-flex e-con-boxed e-con e-parent\" data-id=\"f526e6c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bdc7809 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"bdc7809\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/detralytics.com\/trainings\/#opentrainings\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-arrow-right\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M190.5 66.9l22.2-22.2c9.4-9.4 24.6-9.4 33.9 0L441 239c9.4 9.4 9.4 24.6 0 33.9L246.6 467.3c-9.4 9.4-24.6 9.4-33.9 0l-22.2-22.2c-9.5-9.5-9.3-25 .4-34.3L311.4 296H24c-13.3 0-24-10.7-24-24v-32c0-13.3 10.7-24 24-24h287.4L190.9 101.2c-9.8-9.3-10-24.8-.4-34.3z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">All Trainings<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>This training gives you a general knowledge of insurance analytics. You will be able to select the appropriate approach for your own data, run the R code and interpret the results.<\/p>\n","protected":false},"author":1,"featured_media":5741,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[153],"tags":[149],"class_list":["post-5740","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science","tag-data-science"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Training : Insurance analytics: A primer<\/title>\n<meta name=\"description\" content=\"This training gives you a general knowledge of insurance analytics. 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