{"id":1089,"date":"2025-09-30T10:07:46","date_gmt":"2025-09-30T08:07:46","guid":{"rendered":"https:\/\/vmark.eu\/fr\/?page_id=1089"},"modified":"2026-04-24T12:10:12","modified_gmt":"2026-04-24T10:10:12","slug":"spss-bi","status":"publish","type":"page","link":"https:\/\/vmark.eu\/fr\/spss-bi\/","title":{"rendered":"SPSS &amp; BI"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1089\" class=\"elementor elementor-1089\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8befb76 e-flex e-con-boxed e-con e-parent\" data-id=\"8befb76\" 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-7b6d8ce elementor-widget elementor-widget-heading\" data-id=\"7b6d8ce\" 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\">SPSS &amp; BI<\/h3>\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<div class=\"elementor-element elementor-element-40804d6 e-flex e-con-boxed e-con e-parent\" data-id=\"40804d6\" 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-9711ed5 elementor-widget elementor-widget-text-editor\" data-id=\"9711ed5\" 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>La plateforme logicielle IBM SPSS offre des analyses statistiques avanc\u00e9es, une vaste biblioth\u00e8que d\u2019algorithmes d\u2019apprentissage automatique, des analyses de texte, l\u2019extensibilit\u00e9 open source, des capacit\u00e9s d\u2019int\u00e9gration avec le big data et un d\u00e9ploiement transparent dans les applications.<\/p><p>Sa facilit\u00e9 d\u2019utilisation, sa flexibilit\u00e9 et son \u00e9volutivit\u00e9 font de SPSS un logiciel accessible \u00e0 tous les utilisateurs, quel que soit leur niveau de comp\u00e9tences. Convenant aux projets de toutes tailles et de tous niveaux de complexit\u00e9, il peut en outre vous aider \u00e0 identifier de nouvelles opportunit\u00e9s, \u00e0 am\u00e9liorer votre efficacit\u00e9 et \u00e0 r\u00e9duire les risques.<\/p><p>Dans la famille de produits logiciels SPSS,\u00a0<a href=\"https:\/\/www.ibm.com\/fr-fr\/products\/spss-statistics\">IBM SPSS <\/a><a href=\"https:\/\/www.ibm.com\/fr-fr\/products\/spss-statistics\">Statistics<\/a>\u00a0prend en charge une approche descendante de tests d\u2019hypoth\u00e8ses pour vos donn\u00e9es, tandis qu\u2019<a href=\"https:\/\/www.ibm.com\/fr-fr\/products\/spss-modeler\">IBM SPSS Modeler<\/a>\u00a0r\u00e9v\u00e8le les sch\u00e9mas et les mod\u00e8les cach\u00e9s dans les donn\u00e9es gr\u00e2ce \u00e0 une approche ascendante de g\u00e9n\u00e9ration d\u2019hypoth\u00e8ses.<\/p><p>\u00a0<\/p><p>Une grande gamme d\u2019add-on sp\u00e9cialis\u00e9s vous aide suivant vos besoins propres:<\/p><p>Regression \/ Advanced Statistics \/ Custom table \/ Forcasting \/ Categories \/ Missing values \/ Decision trees \/ Data preparation \/ Exact tests \/ Complex samples \/ Neural network \/ AMOS \/ Conjoint \/ Direct marketing \/ \u00a0Bootstrapping\u00a0<\/p><p><b>En savoir plus: <\/b><a href=\"https:\/\/www.ibm.com\/fr-fr\/products\/spss\">Logiciel<\/a><a href=\"https:\/\/www.ibm.com\/fr-fr\/products\/spss\"> IBM SPSS<\/a><\/p>\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>SPSS &amp; BI La plateforme logicielle IBM SPSS offre des analyses statistiques avanc\u00e9es, une vaste biblioth\u00e8que d\u2019algorithmes d\u2019apprentissage automatique, des [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-1089","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/vmark.eu\/fr\/wp-json\/wp\/v2\/pages\/1089","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vmark.eu\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/vmark.eu\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/vmark.eu\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/vmark.eu\/fr\/wp-json\/wp\/v2\/comments?post=1089"}],"version-history":[{"count":0,"href":"https:\/\/vmark.eu\/fr\/wp-json\/wp\/v2\/pages\/1089\/revisions"}],"wp:attachment":[{"href":"https:\/\/vmark.eu\/fr\/wp-json\/wp\/v2\/media?parent=1089"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}