{"id":193129,"date":"2023-03-13T17:26:08","date_gmt":"2023-03-13T17:26:08","guid":{"rendered":"https:\/\/datascientest.com\/?p=193129"},"modified":"2023-03-14T09:40:07","modified_gmt":"2023-03-14T09:40:07","slug":"grand-prix-de-la-data-la-sncf-avec-un-train-davance","status":"publish","type":"post","link":"https:\/\/datascientest.com\/grand-prix-de-la-data-la-sncf-avec-un-train-davance","title":{"rendered":"Grand Prix de la Data : la SNCF avec un train d\u2019avance"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"193129\" class=\"elementor elementor-193129\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-83ddfc2 e-flex e-con-boxed e-con\" data-id=\"83ddfc2\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-29a77a4 elementor-widget elementor-widget-heading\" data-id=\"29a77a4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">La publicit\u00e9 se r\u00e9invente chaque jour gr\u00e2ce \u00e0 la data. La multiplication des supports et des formats, les nouvelles technologies, les nouveaux m\u00e9tiers et services poussent les marques \u00e0 innover. Afin de mettre en lumi\u00e8re les meilleures campagnes d\u2019acquisition, le Grand Prix de la Data, organis\u00e9 par le groupe INfluencia, a r\u00e9compens\u00e9, le 9 mars dernier, les entreprises qui ont su combiner cr\u00e9ativit\u00e9 et performances via leur utilisation de la data.<\/h2>\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-b60f322 e-flex e-con-boxed e-con\" data-id=\"b60f322\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f11c339 elementor-widget elementor-widget-heading\" data-id=\"f11c339\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">La data et le contexte dans le domaine publicitaire<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0f1b262 elementor-widget elementor-widget-text-editor\" data-id=\"0f1b262\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">Pour l\u2019ouverture de leur <\/span><b>6\u00e8me \u00e9v\u00e9nement<\/b><span style=\"font-weight: 400;\">, les organisateurs ont souhait\u00e9 mettre en avant <\/span><b>l\u2019importance du contexte<\/b><span style=\"font-weight: 400;\"> dans la performance publicitaire. A cette occasion, des experts des groupes <\/span><b>JCDecaux<\/b><span style=\"font-weight: 400;\">, <\/span><b>M publicit\u00e9<\/b><span style=\"font-weight: 400;\">,<\/span><b> Iprospect<\/b><span style=\"font-weight: 400;\"> et <\/span><b>Canal+<\/b><span style=\"font-weight: 400;\"> ont \u00e9t\u00e9 invit\u00e9s \u00e0 \u00e9changer sur sc\u00e8ne.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">En entr\u00e9e de ce d\u00e9bat, la Directrice Digital, Data et Innovation de Canal+ Brand Solutions, <\/span><b>Emmanuelle Godard<\/b><span style=\"font-weight: 400;\"> explique qu\u2019aujourd\u2019hui, la publicit\u00e9 et le contenu vid\u00e9o doivent avoir <\/span><b>le m\u00eame contexte<\/b><span style=\"font-weight: 400;\">. <\/span><a href=\"https:\/\/datascientest.com\/data-analysis-tout-savoir\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Des analyses de donn\u00e9es des consommateurs<\/span><\/a><span style=\"font-weight: 400;\"> et de donn\u00e9es tierces montrent qu\u2019une publicit\u00e9 en rapport avec le contenu visionn\u00e9 donne <\/span><b>plus de cr\u00e9dibilit\u00e9 \u00e0 la pub<\/b><span style=\"font-weight: 400;\"> \u201c<\/span><i><span style=\"font-weight: 400;\">Lorsqu\u2019une publicit\u00e9 d\u2019\u00e9quipements sportifs passe sur une cha\u00eene sportive, <\/span><\/i><b><i>on accorde plus facilement sa confiance<\/i><\/b><i><span style=\"font-weight: 400;\"> \u00e0 cette marque<\/span><\/i><span style=\"font-weight: 400;\">\u201d.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">De son c\u00f4t\u00e9, la Directrice G\u00e9n\u00e9rale Adjointe et Head of Data d\u2019Iprospect,<\/span><b> Aude Marchand<\/b><span style=\"font-weight: 400;\"> insiste sur <\/span><b>le manque d\u2019acculturation<\/b><span style=\"font-weight: 400;\"> et <\/span><a href=\"https:\/\/datascientest.com\/formations-data\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">le besoin de formation autour de la donn\u00e9e<\/span><\/a><span style=\"font-weight: 400;\"> aupr\u00e8s des annonceurs \u201c<\/span><i><span style=\"font-weight: 400;\">Ils (les annonceurs) doivent apprendre \u00e0 mieux utiliser leurs donn\u00e9es, \u00e0 mieux les r\u00e9colter et \u00e0 se servir correctement des outils pour les exploiter<\/span><\/i><span style=\"font-weight: 400;\">\u201d.<\/span><\/p>\n<p><b>S\u00e9bastien No\u00ebl<\/b><span style=\"font-weight: 400;\">, Directeur D\u00e9l\u00e9gu\u00e9, Activit\u00e9s Programmatiques, Ad Tech et Mon\u00e9tisation chez M Publicit\u00e9, rejoint l\u2019avis d\u2019Aude Marchand. Selon lui, des donn\u00e9es <\/span><b>plus propres<\/b> <b>et anonymes<\/b><span style=\"font-weight: 400;\"> permettront la cr\u00e9ation de campagnes plus efficaces et offriront de meilleurs indices de performances.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Le Directeur Insights, Data et Marketing Offre de JCDecaux, <\/span><b>Cyril Hucorne<\/b><span style=\"font-weight: 400;\">, donne un exemple d\u2019alliance entre donn\u00e9es et publicit\u00e9s. <i>\u201cL\u2019\u00e9t\u00e9 dernier, une publicit\u00e9 pour de la cr\u00e8me solaire n\u2019apparaissait que lorsqu\u2019un indice UV 3 \u00e9tait atteint dans certaines zones\u201d<\/i>. <\/span><b>Les donn\u00e9es m\u00e9t\u00e9orologiques et g\u00e9ographiques<\/b><span style=\"font-weight: 400;\"> ont ainsi permis de mettre en \u0153uvre cette campagne de pub.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Les experts du marketing se rejoignent pour dire que le contexte publicitaire devient un atout majeur, face \u00e0 <\/span><b>une exp\u00e9rience et une relation client qui se personnifient<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b63d37e elementor-widget elementor-widget-shortcode\" data-id=\"b63d37e\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\">\t\t<div data-elementor-type=\"archive\" data-elementor-id=\"182524\" class=\"elementor elementor-182524\" data-elementor-post-type=\"elementor_library\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d28ad70 elementor-hidden-mobile e-flex e-con-boxed e-con\" data-id=\"d28ad70\" data-element_type=\"container\" id=\"pub\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-df75a27 e-flex e-con-boxed e-con\" data-id=\"df75a27\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-1f9f7a63 e-con-full e-flex e-con\" data-id=\"1f9f7a63\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-30f75ac7 elementor-hidden-mobile elementor-widget elementor-widget-heading\" data-id=\"30f75ac7\" data-element_type=\"widget\" id=\"carriere_data\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">UNE <span class=\"bleuelectric\">CARRI\u00c8RE<\/span> DANS LA <span class=\"bleuelectric\">DATA<\/span> VOUS TEND LES BRAS\u00a0!<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fc48519 elementor-widget__width-inherit elementor-hidden-mobile elementor-widget elementor-widget-text-editor\" data-id=\"6fc48519\" data-element_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<p>Une <strong>reconversion<\/strong> dans le <strong>big data<\/strong> vous int\u00e9resse, mais vous ne savez pas <strong>par o\u00f9 commencer<\/strong> ? D\u00e9couvrez nos <span style=\"color: #4826dd;\"><strong>formations\u00a0en\u00a0Data Science<\/strong><\/span>.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9d8c47d elementor-align-left button-principal elementor-hidden-mobile elementor-widget elementor-widget-button\" data-id=\"9d8c47d\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"\/formations-data\" target=\"_blank\" id=\"advanced-ads-button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Je d\u00e9couvre les formations<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f3b0fa7 elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-heading\" data-id=\"f3b0fa7\" data-element_type=\"widget\" id=\"carriere_gratuit\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Participer \u00e0 votre premi\u00e8re <span class=\"bleuelectric\">formation data gratuitement<\/span> !<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e00260f elementor-widget__width-inherit elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-text-editor\" data-id=\"e00260f\" data-element_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<p>Assistez aux cours dispens\u00e9s en live par nos formateurs pour d\u00e9marrer sur Python, SQL, Power BI\u2026<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-698c29e elementor-align-left button-principal elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-button\" data-id=\"698c29e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/formation.datascientest.com\/formation-data-gratuite?utm_source=datascientest.com&#038;utm_medium=banner&#038;utm_campaign=formation_gratuite&#038;utm_content=blog+post\" target=\"_blank\" id=\"advanced-ads-button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Je d\u00e9couvre les 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class=\"elementor-element elementor-element-1e88c9c6 elementor-hidden-desktop elementor-hidden-tablet e-flex e-con-boxed e-con\" data-id=\"1e88c9c6\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-724b68ca e-flex e-con-boxed e-con\" data-id=\"724b68ca\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-9b069c4 e-con-full e-flex e-con\" data-id=\"9b069c4\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-754a6a99 elementor-hidden-desktop elementor-hidden-tablet e-flex e-con-boxed e-con\" data-id=\"754a6a99\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-69b675db elementor-widget elementor-widget-heading\" data-id=\"69b675db\" data-element_type=\"widget\" id=\"carriere_data\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">UNE <span class=\"bleuelectric\">CARRI\u00c8RE<\/span> DANS LA <span class=\"bleuelectric\">DATA<\/span> VOUS TEND LES BRAS !<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4bf76cf elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"4bf76cf\" data-element_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<p>Une <strong>reconversion<\/strong> dans le <strong>big data<\/strong> vous int\u00e9resse, mais vous ne savez pas <strong>par o\u00f9 commencer<\/strong> ?\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3105d638 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"3105d638\" data-element_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\tD\u00e9couvrez nos <span style=\"color: #4826dd;\"><strong>formations en Data Science<\/strong><\/span>.\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 class=\"elementor-element elementor-element-8b84b20 elementor-align-left button-principal elementor-hidden-desktop elementor-hidden-tablet elementor-widget elementor-widget-button\" data-id=\"8b84b20\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"\/formations-data\" target=\"_blank\" id=\"advanced-ads-button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Je d\u00e9couvre les formations<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bbe0475 elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile e-flex e-con-boxed e-con\" data-id=\"bbe0475\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b8a54b0 elementor-widget elementor-widget-heading\" data-id=\"b8a54b0\" data-element_type=\"widget\" id=\"carriere_gratuit\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Participer \u00e0 votre premi\u00e8re <span class=\"bleuelectric\">formation data gratuitement<\/span> !<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a537e3 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"1a537e3\" data-element_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\tAssistez aux cours dispens\u00e9s en live par nos formateurs pour d\u00e9marrer sur Python, SQL, Power BI &#8230;\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 class=\"elementor-element elementor-element-27e9c3ba elementor-align-left button-principal elementor-hidden-desktop elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-button\" data-id=\"27e9c3ba\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/formation.datascientest.com\/formation-data-gratuite?utm_source=datascientest.com&#038;utm_medium=banner&#038;utm_campaign=formation_gratuite&#038;utm_content=blog+post\" target=\"_blank\" id=\"advanced-ads-button\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Je d\u00e9couvre les formations<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-29576afc elementor-absolute elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"29576afc\" data-element_type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" 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class=\"elementor-element elementor-element-9a63de0 e-flex e-con-boxed e-con\" data-id=\"9a63de0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3ac0126 elementor-widget elementor-widget-heading\" data-id=\"3ac0126\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">L\u2019\u00e9lection des laur\u00e9ats<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7ec3adb elementor-widget elementor-widget-text-editor\" data-id=\"7ec3adb\" data-element_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<p><span style=\"font-weight: 400;\">Suite \u00e0 cette discussion, la c\u00e9r\u00e9monie de remise des prix r\u00e9compensa <\/span><b>9 cat\u00e9gories diff\u00e9rentes<\/b><span style=\"font-weight: 400;\"> et d\u00e9cerna <\/span><b>un grand prix<\/b><span style=\"font-weight: 400;\"> suppl\u00e9mentaire parmi les m\u00e9daill\u00e9s d\u2019or. Tous les projets \u00e9tudi\u00e9s cette ann\u00e9e avaient pour but de renforcer l\u2019exp\u00e9rience client. Une contrainte suppl\u00e9mentaire f\u00fbt de fournir une solution avec un usage durable de la data. La liste des r\u00e9compens\u00e9s et de leur cat\u00e9gorie est donc la suivante :\u00a0<\/span><\/p><p>\u00a0<\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">La premi\u00e8re cat\u00e9gorie, <\/span><b>Product Design<\/b><span style=\"font-weight: 400;\">, r\u00e9compense <\/span><b>SNCF Voyageurs<\/b><span style=\"font-weight: 400;\"> pour son syst\u00e8me de mesure de l\u2019affluence des voyageurs transilien en temps r\u00e9el. L\u2019objectif est de permettre aux voyageurs en gare de se diriger vers les wagons moins encombr\u00e9s avant l\u2019arriv\u00e9e du train.<\/span><\/li><\/ul><div>\u00a0<\/div><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Deuxi\u00e8me cat\u00e9gorie, <\/span><b>Insight<\/b><span style=\"font-weight: 400;\"> : Les deux m\u00e9daill\u00e9s sont <\/span><b>Orange<\/b><span style=\"font-weight: 400;\"> et <\/span><b>la direction des ressources humaines de l\u2019Arm\u00e9e de Terre<\/b><span style=\"font-weight: 400;\">. L\u2019un pour son chatbot IA de r\u00e9ponse \u00e0 ses clients d\u00e9tracteurs. Et le second pour son chatbot optimis\u00e9 permettant une meilleure prise de rendez-vous avec les utilisateurs.<\/span><\/li><\/ul><div>\u00a0<\/div><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">La troisi\u00e8me cat\u00e9gorie, <\/span><b>l\u2019activation et le ciblage<\/b><span style=\"font-weight: 400;\">, r\u00e9compense <\/span><b>Bouygues T\u00e9l\u00e9com<\/b><span style=\"font-weight: 400;\"> pour sa campagne publicitaire personnalis\u00e9e sur mobile. Chaque client de l\u2019op\u00e9rateur recevait une publication, en fonction du mod\u00e8le de son t\u00e9l\u00e9phone, afin de l\u2019inciter \u00e0 le faire r\u00e9parer via une offre de r\u00e9duction.\u00a0\u00a0<\/span><\/li><\/ul><div>\u00a0<\/div><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Le CRM<\/b><span style=\"font-weight: 400;\"> fut la quatri\u00e8me cat\u00e9gorie. A cette occasion, c\u2019est <\/span><b>Toyota Financial Services<\/b><span style=\"font-weight: 400;\"> qui remporte la m\u00e9daille d\u2019or pour son premier parcours CRM (Customer Relationship Management), \u201cBienvenue\u201d.<\/span><\/li><\/ul><div>\u00a0<\/div><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">On retrouve en cinqui\u00e8me cat\u00e9gorie <\/span><b>le PRM<\/b><span style=\"font-weight: 400;\"> (Prospect Relationship Management). Il r\u00e9compense l\u2019annonceur <\/span><b>Desjoyaux<\/b><span style=\"font-weight: 400;\"> pour son optimisation de sa cha\u00eene de transformation de ses campagnes m\u00e9dia.<\/span><\/li><\/ul><div>\u00a0<\/div><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">La sixi\u00e8me cat\u00e9gorie est <\/span><b>la mesure des performances<\/b><span style=\"font-weight: 400;\">, les jurys offrent la m\u00e9daille d\u2019or \u00e0 <\/span><b>Canal+ Brand Solutions<\/b><span style=\"font-weight: 400;\"> pour sa mesure de l\u2019effet des contextes entre publicit\u00e9s et programmes t\u00e9l\u00e9vis\u00e9s.<\/span><\/li><\/ul><div>\u00a0<\/div><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">La cat\u00e9gorie <\/span><b>cr\u00e9ation<\/b><span style=\"font-weight: 400;\"> r\u00e9compense <\/span><b>le Bescherelle<\/b><span style=\"font-weight: 400;\"> pour sa campagne publicitaire innovante et \u00e0 l\u2019ordre du jour avec les chatbots intelligents.<\/span><\/li><\/ul><div>\u00a0<\/div><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Le m\u00e9daill\u00e9 d\u2019or pour la cat\u00e9gorie <\/span><b>TV segment\u00e9e<\/b><span style=\"font-weight: 400;\"> est <\/span><b>Adcleek et Citro\u00ebn<\/b><span style=\"font-weight: 400;\"> qui facilitent l\u2019achat d\u2019une TV segment\u00e9e pour les concessionnaires Citro\u00ebn.<\/span><\/li><\/ul><div>\u00a0<\/div><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">En derni\u00e8re cat\u00e9gorie on retrouve <\/span><b>la technologie<\/b> <b>de l\u2019ann\u00e9e<\/b><span style=\"font-weight: 400;\">, ce prix est remis \u00e0 <\/span><b>Ogury<\/b><span style=\"font-weight: 400;\">, leader mondial de la publicit\u00e9 personnifi\u00e9e, qui a cr\u00e9\u00e9 une m\u00e9thode de ciblage bas\u00e9e sur des personas et non sur l\u2019identit\u00e9 d\u2019un utilisateur.<\/span><\/li><\/ul><div>\u00a0<\/div><p><span style=\"font-weight: 400;\">Le dernier prix, <\/span><b>le Grand Prix de la Data<\/b><span style=\"font-weight: 400;\"> est quant \u00e0 lui d\u00e9cern\u00e9 \u00e0 <\/span><b>SNCF Voyageurs<\/b><span style=\"font-weight: 400;\"> pour son syst\u00e8me innovant et impactant sur le quotidien de ses utilisateurs.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-93f77b1 elementor-widget elementor-widget-image\" data-id=\"93f77b1\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"600\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/img_2673-1024x768.jpg\" class=\"attachment-large size-large wp-image-193131\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/img_2673-1024x768.jpg 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/img_2673-300x225.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/img_2673-768x576.jpg 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/img_2673-1536x1152.jpg 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/img_2673-2048x1536.jpg 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7b3e4d5 e-flex e-con-boxed e-con\" data-id=\"7b3e4d5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ba7084c elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"ba7084c\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">D\u00e9couvrir nos offres de formations<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\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\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>La publicit\u00e9 se r\u00e9invente chaque jour gr\u00e2ce \u00e0 la data. La multiplication des supports et des formats, les nouvelles technologies, les nouveaux m\u00e9tiers et services poussent les marques \u00e0 innover. Afin de mettre en lumi\u00e8re les meilleures campagnes d\u2019acquisition, le Grand Prix de la Data, organis\u00e9 par le groupe INfluencia, a r\u00e9compens\u00e9, le 9 mars [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":193130,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2431],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Grand Prix de la Data : la SNCF avec un train d\u2019avance<\/title>\n<meta name=\"description\" content=\"le Grand Prix de la Data r\u00e9compense les entreprises qui ont su combiner cr\u00e9ativit\u00e9 et performances via leur utilisation de la data\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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