{"id":13939,"date":"2016-01-13T20:14:48","date_gmt":"2016-01-13T19:14:48","guid":{"rendered":"http:\/\/rh.by.storhaye.com\/?p=13939"},"modified":"2016-11-08T10:12:53","modified_gmt":"2016-11-08T09:12:53","slug":"big-data-rh-ou-lenjeu-du-discernement","status":"publish","type":"post","link":"https:\/\/rh.by.storhaye.com\/?p=13939","title":{"rendered":"Big data RH ou l&rsquo;enjeu du discernement"},"content":{"rendered":"<p><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-background-position:left top;--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:20px;--awb-padding-bottom:20px;--awb-border-sizes-top:0px;--awb-border-sizes-bottom:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-one-full fusion-column-first fusion-column-last fusion-column-no-min-height\" style=\"--awb-bg-size:cover;--awb-margin-bottom:0px;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-testimonials classic awb-speech-bubble-show fusion-testimonials-1\" style=\"--awb-textcolor:#747474;--awb-backgroundcolor:#f6f3f3;--awb-testimonial-border-style:solid;--awb-testimonial-border-color:var(--awb-color3);--awb-border-top-left-radius:0px;--awb-border-top-right-radius:0px;--awb-border-bottom-left-radius:0px;--awb-border-bottom-right-radius:0px;--testimonial-border-width-top:0px;--testimonial-border-width-right:0px;--testimonial-border-width-bottom:0px;--testimonial-border-width-left:0px;\" data-random=\"0\" data-speed=\"4000\"><div class=\"reviews\"><div class=\"review active-testimonial male\"><blockquote><div class=\"awb-quote\"><div class=\"awb-quote-content\">Plus encore que de donn\u00e9es, c&rsquo;est de discernement, donc d&rsquo;expertise et de culture m\u00e9tier, dont le Big Data RH a besoin. La culture de donn\u00e9es qu&rsquo;exige le Big Data doit en effet \u00eatre compl\u00e9t\u00e9e d&rsquo;une connaissance approfondie et vaste du domaine auquel elle s&rsquo;applique pour \u00e9viter les erreurs d&rsquo;interpr\u00e9tation.<\/div><\/div><span class=\"awb-triangle\"><\/span><\/blockquote><div class=\"author\"><span class=\"testimonial-thumbnail doe\"><\/span><span class=\"company-name\"><\/span><\/div><\/div><\/div><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"margin-left: auto;margin-right: auto;width:100%;\"><\/div><div class=\"fusion-sep-clear\"><\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_1 1_1 fusion-one-full fusion-column-first fusion-column-last\" style=\"--awb-bg-size:cover;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-text fusion-text-1\"><h1><strong>Le syndrome de la blonde moustachue<\/strong><\/h1>\n<\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-2 fusion_builder_column_1_3 1_3 fusion-one-third fusion-column-first\" style=\"--awb-bg-size:cover;width:30.6666%; margin-right: 4%;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-video fusion-youtube\" style=\"--awb-max-width:600px;--awb-max-height:350px;\"><div class=\"video-shortcode\"><div class=\"fluid-width-video-wrapper\" style=\"padding-top:58.33%;\" ><iframe title=\"YouTube video player 1\" src=\"https:\/\/www.youtube.com\/embed\/sni8ewT_Wak?wmode=transparent&autoplay=0\" width=\"600\" height=\"350\" allowfullscreen allow=\"autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;\"><\/iframe><\/div><\/div><\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-3 fusion_builder_column_2_3 2_3 fusion-two-third fusion-column-last\" style=\"--awb-bg-size:cover;width:65.3333%;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-text fusion-text-2\"><p style=\"text-align: justify;\">En 2009, Reuters France relayait une information cruciale pour ceux qui r\u00eavent de voir leur salaire progresser plus vite que les autres sans faire les efforts que l\u2019acquisition de comp\u00e9tences exige in\u00e9vitablement. En effet, l\u2019article du vendredi 9 octobre 2009, intitul\u00e9 \u00ab\u00a0<em><a href=\"http:\/\/fr.reuters.com\/article\/oddlyEnoughNews\/idFRPAE5980F720091009\" target=\"_blank\">La moustache, truchement imparable pour grimper les \u00e9chelons\u00a0?<\/a><\/em>\u00a0\u00bb\u00a0relatait les r\u00e9sultats d\u2019une enqu\u00eate r\u00e9alis\u00e9e \u00e0 la demande de Quicken Online et de l\u2019institut am\u00e9ricain de la moustache (<a href=\"http:\/\/www.americanmustacheinstitute.org\" target=\"_blank\">the American Mustache Institute<\/a>).\u00a0Cette enqu\u00eate r\u00e9alis\u00e9e aupr\u00e8s de 6000 personnes r\u00e9v\u00e9lait ainsi, toujours selon l\u2019article de Reuters, que \u00ab\u00a0<em>les Am\u00e9ricains moustachus gagnent 8,2% plus que les barbus et 4,3% plus que les gens ras\u00e9s de pr\u00e8s<\/em>\u00a0\u00bb.<\/p>\n<\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-4 fusion_builder_column_1_1 1_1 fusion-one-full fusion-column-first fusion-column-last\" style=\"--awb-bg-size:cover;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-text fusion-text-3\"><p style=\"text-align: justify;\">Un an plus tard, le <a href=\"http:\/\/www.telegraph.co.uk\/lifestyle\/7552146\/Blondes-paid-more-than-other-women.html\" target=\"_blank\">Telegraph<\/a>\u00a0rapportait les r\u00e9sultats d\u2019une enqu\u00eate r\u00e9alis\u00e9e par l\u2019Universit\u00e9 de Queensland sur un \u00e9chantillon de 13000 femmes. Cette enqu\u00eate concluait que les femmes blondes gagnaient en moyenne 7% de plus que les autres, cette diff\u00e9rence \u00e9tant constante m\u00eame apr\u00e8s avoir retir\u00e9 d\u2019autres facteurs comme la taille, le poids et l\u2019\u00e9ducation toujours selon le m\u00eame article.<\/p>\n<p style=\"text-align: justify;\">Les sources de ces deux enqu\u00eates sont incontestables et les r\u00e9sultats qu\u2019elles pr\u00e9sentent sont sans nul doute bien ceux qui ont \u00e9t\u00e9 statistiquement observ\u00e9s. Il suffirait d\u2019ailleurs d\u2019ajouter \u00e0 cette rigueur statistique les vertus du bon sens pour aller bien plus loin et \u00ab\u00a0booster\u00a0\u00bb sa situation financi\u00e8re dans des proportions inimaginables \u2026 En effet, selon le principe simple que \u00ab\u00a0<em>deux bonnes raisons valent mieux qu\u2019une<\/em>\u00a0\u00bb on pourrait tenter de croire que l\u2019avenir appartient aux blondes moustachues\u00a0!<\/p>\n<p style=\"text-align: justify;\">Et ceux qui pr\u00e9f\u00e8rent les vertus d\u2019un dipl\u00f4me aux attributs purement esth\u00e9tiques, les \u00e9tudes ne manquent pas non plus pour mieux identifier les moyens d\u2019y arriver\u2026 Ainsi, vous r\u00eavez d\u2019un doctorat en sciences de l\u2019ing\u00e9nieur\u00a0? Mangez alors de la mozzarella cela pourrait augmenter vos chances. Si l\u2019on en croit en effet les donn\u00e9es (pardon, les <em>data<\/em>)\u00a0de l\u2019U.S. Department of Agriculture\u00a0et de la National Science Foundation, de 2000 \u00e0 2009, la corr\u00e9lation entre la consommation de mozzarella par t\u00eate et le nombre de doctorats en sciences de l\u2019ing\u00e9nieur serait de plus de 95% \u2026<\/p>\n<p style=\"text-align: justify;\">Ces exemples de \u00ab\u00a0corr\u00e9lations sp\u00e9cieuses\u00a0\u00bb (voir l\u2019encadr\u00e9 ci-dessous) livrent deux enseignements qu\u2019il semble particuli\u00e8rement utile de conserver \u00e0 l\u2019esprit, notamment lorsque le microcosme RH s\u2019enflamme pour les vertus \u00ab\u00a0pr\u00e9dictives\u00a0\u00bb du Big Data, qu\u2019il n\u2019est pas ici question de contester mais sur lesquelles il convient d\u2019\u00eatre prudent.<\/p>\n<\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-background-position:left top;--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:20px;--awb-padding-bottom:20px;--awb-border-sizes-top:0px;--awb-border-sizes-bottom:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-5 fusion_builder_column_1_1 1_1 fusion-one-full fusion-column-first fusion-column-last\" style=\"--awb-bg-size:cover;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-text fusion-text-4\"><h1><strong>La diff\u00e9rence entre corr\u00e9lation et causalit\u00e9<\/strong><\/h1>\n<\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-6 fusion_builder_column_1_3 1_3 fusion-one-third fusion-column-first\" style=\"--awb-padding-top:10px;--awb-padding-right:10px;--awb-padding-bottom:10px;--awb-padding-left:10px;--awb-bg-color:#f4f4f4;--awb-bg-color-hover:#f4f4f4;--awb-bg-size:cover;width:30.6666%; margin-right: 4%;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-text fusion-text-5\"><h2>\u00ab\u00a0spurious correlation\u00a0\u00bb<\/h2>\n<p style=\"text-align: justify;\">De nombreux exemples de corr\u00e9lations sp\u00e9cieuses (\u00ab\u00a0<em>spurious correlations<\/em>\u00ab\u00a0) sont propos\u00e9s par le site <a href=\"http:\/\/tylervigen.com\/spurious-correlations\" target=\"_blank\">Tyler Vigen<\/a>. En voici quelques exemples :<\/p>\n<ul>\n<li style=\"text-align: justify;\">Une corr\u00e9lation de 93,57% entre le nombre de voitures particuli\u00e8res japonaises vendues aux Etats-Unis et le nombre de suicides par crash de v\u00e9hicule \u00e0 moteur.<\/li>\n<li style=\"text-align: justify;\">Une corr\u00e9lation de 99,79% entre les d\u00e9penses des Etats-Unis dans les domaines de la science, de l\u2019espace et des technologies et les suicides par pendaison, strangulation et \u00e9touffement.<\/li>\n<li style=\"text-align: justify;\">Une <a href=\"http:\/\/tylervigen.com\/view_correlation?id=28784\" target=\"_blank\">corr\u00e9lation de 99,26%<\/a> entre la consommation de margarine et le taux de divorce dans le Maine&#8230; ou\u00a0de 97% entre la consommation de lait aux Etats-Unis et le <a href=\"http:\/\/tylervigen.com\/view_correlation?id=36\" target=\"_blank\">taux de divorce en Alabama<\/a>.<\/li>\n<\/ul>\n<\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-7 fusion_builder_column_2_3 2_3 fusion-two-third fusion-column-last\" style=\"--awb-bg-size:cover;width:65.3333%;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-text fusion-text-6\"><p style=\"text-align: justify;\">Pour celle ou celui qui veut bien faire l\u2019effort de r\u00e9fl\u00e9chir un instant, cela ne semble pas bien difficile de comprendre qu\u2019une corr\u00e9lation entre deux ph\u00e9nom\u00e8nes n\u2019est pas n\u00e9cessairement la preuve d\u2019une relation de cause \u00e0 effet entre eux. En effet, une corr\u00e9lation ne t\u00e9moigne que de l\u2019existence d\u2019une relation math\u00e9matique entre deux s\u00e9ries de donn\u00e9es, et cette relation est un indicateur de la probabilit\u00e9 d\u2019une relation de cause \u00e0 effet. La concomitance de deux ph\u00e9nom\u00e8nes, quand bien m\u00eame celle-ci soit elle forte, n\u2019est en aucun cas la preuve que l\u2019un des deux ph\u00e9nom\u00e8nes est la cons\u00e9quence directe de l\u2019autre.<\/p>\n<p style=\"text-align: justify;\">A l\u2019instar du raisonnement <em>post hoc<\/em> (confondre ant\u00e9c\u00e9dent et cause), confondre corr\u00e9lation et causalit\u00e9 est un sophisme c\u2019est-\u00e0-dire une \u00ab\u00a0argumentation\u00a0\u00e0 la logique fallacieuse\u00a0(\u2026) un\u00a0raisonnement\u00a0qui cherche \u00e0 para\u00eetre rigoureux mais qui n&rsquo;est en r\u00e9alit\u00e9 pas\u00a0valide au sens de la\u00a0logique\u00a0(quand bien m\u00eame sa conclusion serait pourtant la \u00ab\u00a0vraie\u00a0\u00bb\u00a0\u00bb (source: Wikipedia).<\/p>\n<\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-3 nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-background-position:left top;--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:20px;--awb-padding-bottom:20px;--awb-background-color:#ededed;--awb-border-sizes-top:0px;--awb-border-sizes-bottom:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-8 fusion_builder_column_1_1 1_1 fusion-one-full fusion-column-first fusion-column-last fusion-column-no-min-height\" style=\"--awb-bg-size:cover;--awb-margin-bottom:0px;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-text fusion-text-7\"><h2 style=\"text-align: center;\">Pour\u00a0approfondir le sujet corr\u00e9lation \/ causalit\u00e9<\/h2>\n<\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-9 fusion_builder_column_1_4 1_4 fusion-one-fourth fusion-column-first\" style=\"--awb-bg-size:cover;width:22%; margin-right: 4%;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-video fusion-youtube\" style=\"--awb-max-width:600px;--awb-max-height:350px;\"><div class=\"video-shortcode\"><div class=\"fluid-width-video-wrapper\" style=\"padding-top:58.33%;\" ><iframe title=\"YouTube video player 2\" src=\"https:\/\/www.youtube.com\/embed\/djskv4ToVK0?wmode=transparent&autoplay=0\" width=\"600\" height=\"350\" allowfullscreen allow=\"autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;\"><\/iframe><\/div><\/div><\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-10 fusion_builder_column_1_4 1_4 fusion-one-fourth\" style=\"--awb-bg-size:cover;width:22%; margin-right: 4%;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-video fusion-youtube\" style=\"--awb-max-width:600px;--awb-max-height:350px;\"><div class=\"video-shortcode\"><div class=\"fluid-width-video-wrapper\" style=\"padding-top:58.33%;\" ><iframe title=\"YouTube video player 3\" src=\"https:\/\/www.youtube.com\/embed\/5SyWBL6JurU?wmode=transparent&autoplay=0\" width=\"600\" height=\"350\" allowfullscreen allow=\"autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;\"><\/iframe><\/div><\/div><\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-11 fusion_builder_column_1_4 1_4 fusion-one-fourth\" style=\"--awb-bg-size:cover;width:22%; margin-right: 4%;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-video fusion-youtube\" style=\"--awb-max-width:600px;--awb-max-height:350px;\"><div class=\"video-shortcode\"><div class=\"fluid-width-video-wrapper\" style=\"padding-top:58.33%;\" ><iframe title=\"YouTube video player 4\" src=\"https:\/\/www.youtube.com\/embed\/DKvKuUveZ2U?wmode=transparent&autoplay=0\" width=\"600\" height=\"350\" allowfullscreen allow=\"autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;\"><\/iframe><\/div><\/div><\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-12 fusion_builder_column_1_4 1_4 fusion-one-fourth fusion-column-last\" style=\"--awb-bg-size:cover;width:22%;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-video fusion-youtube\" style=\"--awb-max-width:600px;--awb-max-height:350px;\"><div class=\"video-shortcode\"><div class=\"fluid-width-video-wrapper\" style=\"padding-top:58.33%;\" ><iframe title=\"YouTube video player 5\" src=\"https:\/\/www.youtube.com\/embed\/B23Xqy0NVFk?wmode=transparent&autoplay=0\" width=\"600\" height=\"350\" allowfullscreen allow=\"autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;\"><\/iframe><\/div><\/div><\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-4 nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-background-position:left top;--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:20px;--awb-padding-bottom:20px;--awb-border-sizes-top:0px;--awb-border-sizes-bottom:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-13 fusion_builder_column_1_1 1_1 fusion-one-full fusion-column-first fusion-column-last fusion-column-no-min-height\" style=\"--awb-bg-size:cover;--awb-margin-bottom:0px;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-text fusion-text-8\"><h1><strong>Les dangers de l\u2019interpr\u00e9tation<\/strong><\/h1>\n<p style=\"text-align: justify;\">Cette confusion malheureusement fr\u00e9quente t\u00e9moigne de l\u2019importance de la phase d\u2019interpr\u00e9tation de ce que l\u2019on observe, qu\u2019il s\u2019agisse d\u2019une observation \u00ab\u00a0math\u00e9matique\u00a0\u00bb ou non. De nombreux biais, \u00e0 commencer par ceux dont nous sommes les seuls responsables (les pr\u00e9jug\u00e9s par exemple) peuvent perturber le regard que l\u2019on porte sur un ph\u00e9nom\u00e8ne. Les statistiques pr\u00e9sentent \u00e0 elles seules de nombreuses situations qui obligent \u00e0 faire preuve non seulement de rigueur mais \u00e0 aller voir bien plus loin que le bout de son nez avant de tirer des conclusions h\u00e2tives.<\/p>\n<p style=\"text-align: justify;\">Le <span class=\"fusion-popover popover-1\" data-animation=\"1\" data-class=\"popover-1\" data-container=\"popover-1\" data-html-content=\"\u00ab On Simpson&#039;s Paradox and the Sure-Thing Principle \u00bb, Colin R. Blyth, Journal of the American Statistical Association, Vol. 67, No. 338 (Jun., 1972), pp. 364-366\" data-delay=\"50\" data-placement=\"top\" data-title=\"paradoxe de Simpson\" data-toggle=\"popover\" data-trigger=\"click\">paradoxe de Simpson<\/span> \u00a0(voir encadr\u00e9 ci-dessous)\u00a0est une parfaite illustration de cette complexit\u00e9 car il est totalement contre-intuitif\u00a0: une corr\u00e9lation observ\u00e9e sur une s\u00e9rie de donn\u00e9es peut dispara\u00eetre voire m\u00eame s\u2019inverser selon qu\u2019on \u00e9tudie les donn\u00e9es par sous-ensembles ou globalement.<\/p>\n<p style=\"text-align: justify;\">De nombreuses autres sources d\u2019interpr\u00e9tation h\u00e2tive existe\u00a0: la mani\u00e8re dont les donn\u00e9es ont \u00e9t\u00e9 codifi\u00e9es, l\u2019existence de facteurs explicatifs \u00ab\u00a0cach\u00e9s\u00a0\u00bb, etc. Bien s\u00fbr, la surabondance de donn\u00e9es qui est aujourd\u2019hui possible permet vraisemblablement de limiter certains de ces risques. On a par exemple moins de risques \u00ab\u00a0d\u2019ignorer\u00a0\u00bb un facteur causal d\u00e8s lors qu\u2019on multiplie les volumes de donn\u00e9es exploit\u00e9es.<\/p>\n<p style=\"text-align: justify;\">Par ailleurs, en contribuant \u00e0 renouveler ou \u00e0 tout le moins \u00e0 \u00e9largir le champ des m\u00e9thodes d\u2019analyse, le Big Data contribue ind\u00e9niablement \u00e0 am\u00e9liorer le potentiel explicatif des analyses statistiques.<\/p>\n<\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-5 nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-background-position:left top;--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:20px;--awb-padding-right:20px;--awb-padding-bottom:20px;--awb-padding-left:20px;--awb-background-color:#f9f9f9;--awb-border-sizes-top:0px;--awb-border-sizes-bottom:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-14 fusion_builder_column_1_1 1_1 fusion-one-full fusion-column-first fusion-column-last fusion-column-no-min-height\" style=\"--awb-bg-size:cover;--awb-margin-bottom:0px;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-text fusion-text-9\"><h2>Le paradoxe de Simpson<\/h2>\n<p style=\"text-align: justify;\">Il existe de tr\u00e8s nombreux exemples concrets du paradoxe de Simpson. Le site <a href=\"https:\/\/sciencetonnante.wordpress.com\/2013\/04\/29\/le-paradoxe-de-simpson\/\" target=\"_blank\">Science \u00e9tonnante<\/a>\u00a0en offre de nombreux.<\/p>\n<p style=\"text-align: justify;\">Prenons un exemple simple. Quelle \u00e9cole choisir pour votre enfant en fonction du taux de r\u00e9ussite au Bac\u00a0? Supposons que vous disposiez de l\u2019information suivante\u00a0:<\/p>\n<ul style=\"text-align: justify;\">\n<li>Sur 600 filles entr\u00e9es \u00e0 l\u2019\u00e9cole A, 590 ont eu le bac, le taux de r\u00e9ussite de l\u2019\u00e9cole A pour les filles est de 98% (590\/600) alors que sur 900 filles entr\u00e9es \u00e0 l\u2019\u00e9cole B, 870 ont eu leur bac ce qui porte le taux de r\u00e9ussite de l\u2019\u00e9cole B pour les filles \u00e0 97%. L\u2019\u00e9cole A a donc un meilleur taux de r\u00e9ussite pour les filles.<\/li>\n<li>Sur 400 gar\u00e7ons entr\u00e9s \u00e0 l\u2019\u00e9cole A, 210 ont eu le bac soit un taux de r\u00e9ussite de 53%, alors que sur 100 gar\u00e7ons entr\u00e9s \u00e0 l\u2019\u00e9cole B seuls 30 ont eu le bac soit un taux de r\u00e9ussite de 30%. L\u00e0 encore, l\u2019\u00e9cole A pr\u00e9sente un meilleur taux de r\u00e9ussite pour les gar\u00e7ons.<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">La conclusion qui devrait s\u2019imposer naturellement est la suivante\u00a0: <strong>que l\u2019on soit une fille ou un gar\u00e7on, le taux de r\u00e9ussite de l\u2019\u00e9cole A est sup\u00e9rieur \u00e0 celui de l\u2019\u00e9cole B<\/strong>.<\/p>\n<p style=\"text-align: justify;\">Pourtant si l\u2019on observe le m\u00eame \u00e9chantillon dans sa globalit\u00e9 on s\u2019aper\u00e7oit que :<\/p>\n<ul style=\"text-align: justify;\">\n<li style=\"text-align: justify;\">sur 1000 personnes entr\u00e9es dans l\u2019\u00e9cole A (600 filles et 400 gar\u00e7ons), 800 ont eu le bac (590 filles et 210 gar\u00e7ons) soit un taux de r\u00e9ussite de l\u2019\u00e9cole A de 80%<\/li>\n<li style=\"text-align: justify;\">alors que sur 1000 personnes entr\u00e9es dans l\u2019\u00e9cole B (900 filles et 100 gar\u00e7ons) 900 ont eu le bac (870 filles et 30 gar\u00e7ons) soit un taux de r\u00e9ussite de l\u2019\u00e9cole B de 90%.<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">La conclusion qui s\u2019impose est que <strong>l\u2019\u00e9cole B a un meilleur taux de r\u00e9ussite global que celui de l\u2019\u00e9cole A<\/strong>.<\/p>\n<p style=\"text-align: justify;\">Cette conclusion est rigoureusement oppos\u00e9e \u00e0 la pr\u00e9c\u00e9dente alors que ce sont strictement les m\u00eames donn\u00e9es.<\/p>\n<\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-6 nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-background-position:left top;--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:20px;--awb-padding-bottom:20px;--awb-border-sizes-top:0px;--awb-border-sizes-bottom:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-15 fusion_builder_column_1_1 1_1 fusion-one-full fusion-column-first fusion-column-last fusion-column-no-min-height\" style=\"--awb-bg-size:cover;--awb-margin-bottom:0px;\"><div class=\"fusion-column-wrapper fusion-flex-column-wrapper-legacy\"><div class=\"fusion-text fusion-text-10\"><h1><strong>La n\u00e9cessit\u00e9 du discernement<\/strong><\/h1>\n<p style=\"text-align: justify;\">Cependant, pour passer de l\u2019analyse \u00e0 un mod\u00e8le que l\u2019on qualifiera de \u00ab\u00a0pr\u00e9dictif\u00a0\u00bb, il faut en quelque sorte s\u2019assurer de la pertinence, ou du \u00absens\u00bb de l\u2019algorithme sur lequel repose cette pr\u00e9diction. Or, c\u2019est pr\u00e9cis\u00e9ment l\u00e0 o\u00f9 l\u2019interpr\u00e9tation est d\u00e9terminante car une fois transform\u00e9e en algorithme, c\u2019est-\u00e0-dire en mod\u00e8les de repr\u00e9sentation, ils ne sont, par nature, que peu critiqu\u00e9s ou remis en cause. Le temps de la mod\u00e9lisation est en effet toujours plus lent que celui des faits.<\/p>\n<p style=\"text-align: justify;\">L\u2019univers RH n\u2019\u00e9chappe pas \u00e0 la r\u00e8gle et le nombre d\u2019\u00e9tudes, non pas farfelues dans leur r\u00e9sultat mais <a href=\"http:\/\/www.blog-emploi.com\/lol-quand-des-chercheurs-analysent-la-vie-de-lentreprise\/\" target=\"_blank\">dans l\u2019usage que l\u2019on en fait<\/a> ou la publicit\u00e9 qu\u2019on leur offre, en t\u00e9moigne. Que dire en effet de cette <a href=\"http:\/\/www.cadremploi.fr\/editorial\/fileadmin\/user_upload\/Image_a_moi\/Nice--JPSPInPress.pdf\" target=\"_blank\">\u00e9tude<\/a> r\u00e9alis\u00e9e de concert par 3 universit\u00e9s (l&rsquo;Universit\u00e9 de Cornell \u00e0 New York, de l&rsquo;Universit\u00e9 Notre-Dame dans l&rsquo;Indiana et l&rsquo;Universit\u00e9 Ouest de l&rsquo;Ontario) et qui tend \u00e0 d\u00e9montrer que les \u00ab\u00a0m\u00e9chants\u00a0\u00bb gagnent 18% de plus que les \u00ab\u00a0gentils\u00a0\u00bb ? Ou de cette autre \u00e9tude qui am\u00e8ne le <a href=\"http:\/\/www.lefigaro.fr\/mode-homme\/2015\/11\/04\/30007-20151104ARTFIG00339-s-habiller-colore-augmente-les-chances-d-avoir-une-promotion-au-travail.php\" target=\"_blank\">Figaro<\/a> \u00e0 \u00e9crire que \u00ab <em>faire preuve d&rsquo;audace stylistique pourrait m\u00eame \u00eatre un s\u00e9rieux atout pour votre carri\u00e8re comme le prouve une nouvelle \u00e9tude britannique men\u00e9e par Case Station, une entreprise d&rsquo;accessoires pour portables<\/em>\u00a0\u00bb ?<\/p>\n<p style=\"text-align: justify;\">Or, le discernement dont il est ici question pour faire parler les donn\u00e9es et que cela fasse sens repose sur trois dimensions fondamentales.<\/p>\n<p style=\"text-align: justify;\"><div class=\"fusion-content-boxes content-boxes columns row fusion-columns-3 fusion-columns-total-3 fusion-content-boxes-1 content-boxes-icon-on-top content-left\" style=\"--awb-hover-accent-color:#ff35b8;--awb-circle-hover-accent-color:#ff35b8;\" data-animationOffset=\"top-into-view\">\n<div style=\"--awb-backgroundcolor:rgba(255,255,255,0);\" class=\"fusion-column content-box-column content-box-column content-box-column-1 col-lg-4 col-md-4 col-sm-4 fusion-content-box-hover content-box-column-first-in-row\"><div class=\"col content-box-wrapper content-wrapper link-area-link-icon icon-hover-animation-fade fusion-animated\" data-animationType=\"zoomInDown\" data-animationDuration=\"0.1\" data-animationOffset=\"top-into-view\"><div class=\"heading heading-with-icon icon-left\"><div class=\"icon\"><i style=\"border-color:#333333;border-width:1px;background-color:#333333;box-sizing:content-box;height:42px;width:42px;line-height:42px;border-radius:50%;font-size:21px;\" aria-hidden=\"true\" class=\"fontawesome-icon fa fa-cogs circle-yes\"><\/i><\/div><h2 class=\"content-box-heading fusion-responsive-typography-calculated\" style=\"--h2_typography-font-size:18px;--fontSize:18;line-height:1.35;\">Expertise m\u00e9tier<\/h2><\/div><div class=\"fusion-clearfix\"><\/div><div class=\"content-container\">Une expertise m\u00e9tier sans laquelle l\u2019analyse fine des ph\u00e9nom\u00e8nes observ\u00e9s n\u2019est pas possible<\/div><\/div><\/div>\n<div style=\"--awb-backgroundcolor:rgba(255,255,255,0);\" class=\"fusion-column content-box-column content-box-column content-box-column-2 col-lg-4 col-md-4 col-sm-4 fusion-content-box-hover \"><div class=\"col content-box-wrapper content-wrapper link-area-link-icon icon-hover-animation-fade fusion-animated\" data-animationType=\"zoomInDown\" data-animationDuration=\"0.1\" data-animationOffset=\"top-into-view\"><div class=\"heading heading-with-icon icon-left\"><div class=\"icon\"><i style=\"border-color:#333333;border-width:1px;background-color:#333333;box-sizing:content-box;height:42px;width:42px;line-height:42px;border-radius:50%;font-size:21px;\" aria-hidden=\"true\" class=\"fontawesome-icon fa fa-eye circle-yes\"><\/i><\/div><h2 class=\"content-box-heading fusion-responsive-typography-calculated\" style=\"--h2_typography-font-size:18px;--fontSize:18;line-height:1.35;\">Culture<\/h2><\/div><div class=\"fusion-clearfix\"><\/div><div class=\"content-container\">Une culture m\u00e9tier sans laquelle la perspective de ce \u00e0 quoi le ph\u00e9nom\u00e8ne observ\u00e9 contribue n\u2019est pas possible<\/div><\/div><\/div>\n<div style=\"--awb-backgroundcolor:rgba(255,255,255,0);\" class=\"fusion-column content-box-column content-box-column content-box-column-3 col-lg-4 col-md-4 col-sm-4 fusion-content-box-hover content-box-column-last content-box-column-last-in-row\"><div class=\"col content-box-wrapper content-wrapper link-area-link-icon icon-hover-animation-fade fusion-animated\" data-animationType=\"zoomInDown\" data-animationDuration=\"0.1\" data-animationOffset=\"top-into-view\"><div class=\"heading heading-with-icon icon-left\"><div class=\"icon\"><i style=\"border-color:#333333;border-width:1px;background-color:#333333;box-sizing:content-box;height:42px;width:42px;line-height:42px;border-radius:50%;font-size:21px;\" aria-hidden=\"true\" class=\"fontawesome-icon fa fa-th circle-yes\"><\/i><\/div><h2 class=\"content-box-heading fusion-responsive-typography-calculated\" style=\"--h2_typography-font-size:18px;--fontSize:18;line-height:1.35;\">Donn\u00e9es<\/h2><\/div><div class=\"fusion-clearfix\"><\/div><div class=\"content-container\">Une culture des donn\u00e9es sans laquelle la rigueur \u00e9conom\u00e9trique n\u2019est pas possible.<\/div><\/div><\/div>\n<div class=\"fusion-clearfix\"><\/div><\/div><\/p>\n<p style=\"text-align: justify;\">A n\u2019en pas douter, r\u00e9unir ces trois dimensions reste l\u2019un des grands d\u00e9fis des ann\u00e9es \u00e0 venir.<\/p>\n<\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":13952,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23],"tags":[59,63,6],"class_list":["post-13939","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bil","tag-big-data","tag-digital","tag-rh"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Big data RH ou l&#039;enjeu du discernement - RH by Storhaye<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/rh.by.storhaye.com\/?p=13939\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Big data RH ou l&#039;enjeu du discernement - RH by Storhaye\" \/>\n<meta property=\"og:url\" content=\"https:\/\/rh.by.storhaye.com\/?p=13939\" \/>\n<meta property=\"og:site_name\" content=\"RH by Storhaye\" \/>\n<meta property=\"article:published_time\" content=\"2016-01-13T19:14:48+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2016-11-08T09:12:53+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2016\/01\/BigDATA.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"patrick\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"patrick\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"17 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/rh.by.storhaye.com\/?p=13939#article\",\"isPartOf\":{\"@id\":\"https:\/\/rh.by.storhaye.com\/?p=13939\"},\"author\":{\"name\":\"patrick\",\"@id\":\"https:\/\/rh.by.storhaye.com\/#\/schema\/person\/2ed4bf79f01799cd794f2f8ab88194f4\"},\"headline\":\"Big data RH ou l&rsquo;enjeu du discernement\",\"datePublished\":\"2016-01-13T19:14:48+00:00\",\"dateModified\":\"2016-11-08T09:12:53+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/rh.by.storhaye.com\/?p=13939\"},\"wordCount\":3495,\"publisher\":{\"@id\":\"https:\/\/rh.by.storhaye.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/rh.by.storhaye.com\/?p=13939#primaryimage\"},\"thumbnailUrl\":\"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2016\/01\/BigDATA.jpg\",\"keywords\":[\"big data\",\"digital\",\"RH\"],\"articleSection\":[\"Blog\"],\"inLanguage\":\"fr-FR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/rh.by.storhaye.com\/?p=13939\",\"url\":\"https:\/\/rh.by.storhaye.com\/?p=13939\",\"name\":\"Big data RH ou l'enjeu du discernement - RH by Storhaye\",\"isPartOf\":{\"@id\":\"https:\/\/rh.by.storhaye.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/rh.by.storhaye.com\/?p=13939#primaryimage\"},\"image\":{\"@id\":\"https:\/\/rh.by.storhaye.com\/?p=13939#primaryimage\"},\"thumbnailUrl\":\"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2016\/01\/BigDATA.jpg\",\"datePublished\":\"2016-01-13T19:14:48+00:00\",\"dateModified\":\"2016-11-08T09:12:53+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/rh.by.storhaye.com\/?p=13939#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/rh.by.storhaye.com\/?p=13939\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/rh.by.storhaye.com\/?p=13939#primaryimage\",\"url\":\"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2016\/01\/BigDATA.jpg\",\"contentUrl\":\"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2016\/01\/BigDATA.jpg\",\"width\":1920,\"height\":1080},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/rh.by.storhaye.com\/?p=13939#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\/\/rh.by.storhaye.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Big data RH ou l&#8217;enjeu du discernement\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/rh.by.storhaye.com\/#website\",\"url\":\"https:\/\/rh.by.storhaye.com\/\",\"name\":\"RH by Storhaye\",\"description\":\"Apprendre, Comprendre, Entreprendre\",\"publisher\":{\"@id\":\"https:\/\/rh.by.storhaye.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/rh.by.storhaye.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/rh.by.storhaye.com\/#organization\",\"name\":\"RH by Storhaye\",\"url\":\"https:\/\/rh.by.storhaye.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/rh.by.storhaye.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2020\/03\/RHbyStorhayeMobile1.png\",\"contentUrl\":\"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2020\/03\/RHbyStorhayeMobile1.png\",\"width\":200,\"height\":30,\"caption\":\"RH by Storhaye\"},\"image\":{\"@id\":\"https:\/\/rh.by.storhaye.com\/#\/schema\/logo\/image\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/rh.by.storhaye.com\/#\/schema\/person\/2ed4bf79f01799cd794f2f8ab88194f4\",\"name\":\"patrick\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/secure.gravatar.com\/avatar\/93176efd25cf34faed24dee002b727bf9facf9ad2410d0c9cad132e1a04dcc1b?s=96&d=mm&r=g\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/93176efd25cf34faed24dee002b727bf9facf9ad2410d0c9cad132e1a04dcc1b?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/93176efd25cf34faed24dee002b727bf9facf9ad2410d0c9cad132e1a04dcc1b?s=96&d=mm&r=g\",\"caption\":\"patrick\"},\"url\":\"https:\/\/rh.by.storhaye.com\/?author=1\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Big data RH ou l'enjeu du discernement - RH by Storhaye","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/rh.by.storhaye.com\/?p=13939","og_locale":"fr_FR","og_type":"article","og_title":"Big data RH ou l'enjeu du discernement - RH by Storhaye","og_url":"https:\/\/rh.by.storhaye.com\/?p=13939","og_site_name":"RH by Storhaye","article_published_time":"2016-01-13T19:14:48+00:00","article_modified_time":"2016-11-08T09:12:53+00:00","og_image":[{"width":1920,"height":1080,"url":"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2016\/01\/BigDATA.jpg","type":"image\/jpeg"}],"author":"patrick","twitter_card":"summary_large_image","twitter_misc":{"\u00c9crit par":"patrick","Dur\u00e9e de lecture estim\u00e9e":"17 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/rh.by.storhaye.com\/?p=13939#article","isPartOf":{"@id":"https:\/\/rh.by.storhaye.com\/?p=13939"},"author":{"name":"patrick","@id":"https:\/\/rh.by.storhaye.com\/#\/schema\/person\/2ed4bf79f01799cd794f2f8ab88194f4"},"headline":"Big data RH ou l&rsquo;enjeu du discernement","datePublished":"2016-01-13T19:14:48+00:00","dateModified":"2016-11-08T09:12:53+00:00","mainEntityOfPage":{"@id":"https:\/\/rh.by.storhaye.com\/?p=13939"},"wordCount":3495,"publisher":{"@id":"https:\/\/rh.by.storhaye.com\/#organization"},"image":{"@id":"https:\/\/rh.by.storhaye.com\/?p=13939#primaryimage"},"thumbnailUrl":"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2016\/01\/BigDATA.jpg","keywords":["big data","digital","RH"],"articleSection":["Blog"],"inLanguage":"fr-FR"},{"@type":"WebPage","@id":"https:\/\/rh.by.storhaye.com\/?p=13939","url":"https:\/\/rh.by.storhaye.com\/?p=13939","name":"Big data RH ou l'enjeu du discernement - RH by Storhaye","isPartOf":{"@id":"https:\/\/rh.by.storhaye.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/rh.by.storhaye.com\/?p=13939#primaryimage"},"image":{"@id":"https:\/\/rh.by.storhaye.com\/?p=13939#primaryimage"},"thumbnailUrl":"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2016\/01\/BigDATA.jpg","datePublished":"2016-01-13T19:14:48+00:00","dateModified":"2016-11-08T09:12:53+00:00","breadcrumb":{"@id":"https:\/\/rh.by.storhaye.com\/?p=13939#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/rh.by.storhaye.com\/?p=13939"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/rh.by.storhaye.com\/?p=13939#primaryimage","url":"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2016\/01\/BigDATA.jpg","contentUrl":"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2016\/01\/BigDATA.jpg","width":1920,"height":1080},{"@type":"BreadcrumbList","@id":"https:\/\/rh.by.storhaye.com\/?p=13939#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Accueil","item":"https:\/\/rh.by.storhaye.com\/"},{"@type":"ListItem","position":2,"name":"Big data RH ou l&#8217;enjeu du discernement"}]},{"@type":"WebSite","@id":"https:\/\/rh.by.storhaye.com\/#website","url":"https:\/\/rh.by.storhaye.com\/","name":"RH by Storhaye","description":"Apprendre, Comprendre, Entreprendre","publisher":{"@id":"https:\/\/rh.by.storhaye.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/rh.by.storhaye.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"},{"@type":"Organization","@id":"https:\/\/rh.by.storhaye.com\/#organization","name":"RH by Storhaye","url":"https:\/\/rh.by.storhaye.com\/","logo":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/rh.by.storhaye.com\/#\/schema\/logo\/image\/","url":"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2020\/03\/RHbyStorhayeMobile1.png","contentUrl":"https:\/\/rh.by.storhaye.com\/wp-content\/uploads\/2020\/03\/RHbyStorhayeMobile1.png","width":200,"height":30,"caption":"RH by Storhaye"},"image":{"@id":"https:\/\/rh.by.storhaye.com\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/rh.by.storhaye.com\/#\/schema\/person\/2ed4bf79f01799cd794f2f8ab88194f4","name":"patrick","image":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/secure.gravatar.com\/avatar\/93176efd25cf34faed24dee002b727bf9facf9ad2410d0c9cad132e1a04dcc1b?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/93176efd25cf34faed24dee002b727bf9facf9ad2410d0c9cad132e1a04dcc1b?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/93176efd25cf34faed24dee002b727bf9facf9ad2410d0c9cad132e1a04dcc1b?s=96&d=mm&r=g","caption":"patrick"},"url":"https:\/\/rh.by.storhaye.com\/?author=1"}]}},"_links":{"self":[{"href":"https:\/\/rh.by.storhaye.com\/index.php?rest_route=\/wp\/v2\/posts\/13939","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rh.by.storhaye.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rh.by.storhaye.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rh.by.storhaye.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rh.by.storhaye.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=13939"}],"version-history":[{"count":0,"href":"https:\/\/rh.by.storhaye.com\/index.php?rest_route=\/wp\/v2\/posts\/13939\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rh.by.storhaye.com\/index.php?rest_route=\/wp\/v2\/media\/13952"}],"wp:attachment":[{"href":"https:\/\/rh.by.storhaye.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=13939"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rh.by.storhaye.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=13939"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rh.by.storhaye.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=13939"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}