{"id":5428,"date":"2014-05-23T16:26:48","date_gmt":"2014-05-23T15:26:48","guid":{"rendered":"http:\/\/www.solucominsight.fr\/?p=5428"},"modified":"2015-02-04T09:55:16","modified_gmt":"2015-02-04T08:55:16","slug":"ressources-humaines-big-data-quel-avenir","status":"publish","type":"post","link":"https:\/\/www.riskinsight-wavestone.com\/en\/2014\/05\/ressources-humaines-big-data-quel-avenir\/","title":{"rendered":"Ressources Humaines et Big data, quel avenir ?"},"content":{"rendered":"<p><i>Depuis la Caisse Nationale d&#8217;Assurance Maladie qui analyse les pathologies \u00e0 grande \u00e9chelle gr\u00e2ce aux prescriptions des m\u00e9decins, jusqu&#8217;aux Avionneurs qui \u00e9tudient les donn\u00e9es produites par les moteurs de leurs avions, en passant par Netflix qui produit House of Cards, s\u00e9rie con\u00e7ue notamment gr\u00e2ce \u00e0 l&#8217;analyse des donn\u00e9es de leurs propres clients, le Big data conna\u00eet une expansion tr\u00e8s forte , rapide et diversifi\u00e9e. <\/i><\/p>\n<p><i>Consid\u00e9r\u00e9 comme l\u2019un des principaux enjeux \u00e9conomiques des prochaines ann\u00e9es, c\u2019est tout naturellement que les Ressources Humaines s\u2019y int\u00e9ressent\u2026 mais pour quelle utilisation?<\/i><\/p>\n<h2><b>Big data, de quoi parle-t-on\u00a0?<\/b><\/h2>\n<p>Le Big data peut se d\u00e9finir comme la volont\u00e9 d\u2019explorer la masse dynamique de donn\u00e9es des syst\u00e8mes interconnect\u00e9s pour prendre des d\u00e9cisions sur des variables pertinentes. Les \u00ab donn\u00e9es \u00bb mentionn\u00e9es peuvent \u00eatre aussi bien internes aux entreprises qu\u2019externes et propres au web 2.0. Plus g\u00e9n\u00e9ralement, ce sont toutes les informations g\u00e9n\u00e9r\u00e9es sciemment ou non, volontairement ou non sur la toile : d\u2019un simple clic sur une annonce, au retwitt (RT) sur Twitter, en passant par la mise en ligne d\u2019une photo sur Instagram ou Facebook.<\/p>\n<p>En r\u00e9sum\u00e9, le Big data permet de croiser tous les types d\u2019informations, qu\u2019elles soient internes ou externes et de les analyser de\u00a0mani\u00e8re transversale.<\/p>\n<h2><b>Big data et recrutement\u00a0: une application d\u00e9j\u00e0 amorc\u00e9e <\/b><\/h2>\n<p>Le Big data dans le recrutement consiste \u00e0 utiliser les techniques d\u2019<em>Advanced Business Analysis<\/em> pour le stockage des donn\u00e9es employeurs, des candidats, l\u2019analyse et la gestion du processus de recrutement int\u00e9gral.<\/p>\n<p>Les donn\u00e9es en question peuvent \u00eatre \u00a0internes (mesure de la performance, entretiens d\u2019\u00e9valuation, relev\u00e9 des absences, activit\u00e9 sur l\u2019intranet, etc.) ou externes,\u00a0g\u00e9n\u00e9r\u00e9es soit par les r\u00e9seaux sociaux (Facebook, Twitter, Tumblr, Pinterest, etc.), soit par les r\u00e9seaux sociaux professionnels (Viadeo, LinkedIn), ou encore via les<em> jobbards<\/em> (Monster, etc.)\u2026<\/p>\n<p>Outre le CV mis en ligne, il s\u2019agit de consultations d\u2019annonces, d\u2019\u00e9changes de messages, de visites de profils, de commentaires, de clics, de g\u00e9olocalisation, d\u2019habitudes de navigation, etc.<\/p>\n<p>Ces derni\u00e8res ann\u00e9es, les RH ont d&#8217;ailleurs connu plusieurs r\u00e9volutions. Tout d&#8217;abord avec internet qui\u00a0a largement boulevers\u00e9 le comportement des DRH dans leurs recrutements. Et puis avec la r\u00e9volution du 2.0 et des r\u00e9seaux sociaux, qui a permis de d\u00e9velopper l&#8217;interactivit\u00e9 avec les candidats et a abouti \u00e0 une diversification des canaux de recrutement.<\/p>\n<p>Ces r\u00e9volutions technologiques permettent aux acteurs des Ressources Humaines d\u2019avoir \u00e0 leur disposition une importante quantit\u00e9 d\u2019informations. Cependant, la masse d\u2019informations est telle qu\u2019ils peuvent \u00e9prouver des\u00a0 difficult\u00e9s \u00e0 les trier. Aujourd&#8217;hui, 9 directeurs des RH sur 10 affirment \u00eatre affect\u00e9s par le d\u00e9luge de donn\u00e9es et estiment ne pas disposer des outils n\u00e9cessaires pour s\u00e9lectionner les bons candidats parmi l&#8217;ensemble des profils qui leur parviennent.<\/p>\n<p>Avec le Big data et surtout son application au recrutement, il devient justement possible face \u00e0 ce flux de donn\u00e9es de\u00a0<strong>mieux identifier les informations pertinentes<\/strong> mais \u00e9galement de\u00a0<strong>cr\u00e9er de la valeur<\/strong> et donc d\u2019<strong>am\u00e9liorer la d\u00e9tection des bons profils<\/strong>.<\/p>\n<h2><b>Big Data et recrutement\u00a0: les limites de l\u2019exercice <\/b><\/h2>\n<p>Int\u00e9grer le Big data au monde de l\u2019entreprise et plus particuli\u00e8rement au secteur des Ressources Humaines, n\u00e9cessite quelques pr\u00e9requis\u00a0:<\/p>\n<ul>\n<li>Acc\u00e9der aux donn\u00e9es car elles constituent le c\u0153ur du Big data<\/li>\n<li>Disposer de ressources capables d\u2019analyser ces donn\u00e9es (comp\u00e9tences en mati\u00e8re de traitement statistiques de donn\u00e9es par exemple)<\/li>\n<li>Int\u00e9grer le Big data \u00e0 une politique RH globale car il ne peut \u00eatre utilis\u00e9 sans recul. Cela peut passer par diverses r\u00e9flexions : l<span style=\"line-height: 1.5em;\">a direction indiqu\u00e9e \/pr\u00e9dite par les chiffres est-elle r\u00e9ellement celle que l\u2019entreprise souhaite prendre ?\u00a0<\/span><span style=\"line-height: 1.5em;\">Est-ce vraiment avec les donn\u00e9es pass\u00e9es que l\u2019on pr\u00e9voit le mieux l\u2019avenir ? Comment a<\/span>nalyser l\u2019impact de ces nouveaux outils face aux outils existants, notamment en mati\u00e8re de <em>talent management<\/em> ou de recrutement.<\/li>\n<\/ul>\n<p>La place grandissante des donn\u00e9es et de leur exploitation, dans une activit\u00e9 o\u00f9 les Relations humaines restent incontournables, peut amener quelques interrogations sur l\u2019aspect suppos\u00e9 pr\u00e9dictif\u00a0:<\/p>\n<ul>\n<li>Que repr\u00e9sentera le Big data dans la prise de d\u00e9cision des recruteurs\u00a0?<\/li>\n<li>Le Big data ne garantit pas le risque Z\u00e9ro. Et si les utilisateurs trouvaient une parade ? Comment savoir s\u2019ils ne feignent pas, comme dans \u00ab la vraie vie \u00bb, le comportement qu\u2019ils savent attendu par les recruteurs ?<\/li>\n<li>L\u2019analyse des donn\u00e9es permet de rep\u00e9rer des profils qui auraient pu \u00eatre \u00e9cart\u00e9s car ne r\u00e9pondant pas aux crit\u00e8res \u00ab habituels et subjectifs \u00bb, mais que penser d\u2019une soci\u00e9t\u00e9 \u00e0 la recherche de la reproduction \u00e0 l\u2019infini du \u00ab profil type \u00bb ?<\/li>\n<li>De combien de talents inactifs sur la toile se prive-t-on ?<\/li>\n<\/ul>\n<h2><b>Big data et recrutement : un cadre qui reste \u00e0 d\u00e9finir<\/b><\/h2>\n<p>Avant de se lancer dans une d\u00e9marche Big data, il faut prendre soin de s&#8217;interroger sur diff\u00e9rentes probl\u00e9matiques cl\u00e9s :<\/p>\n<ul>\n<li>L\u2019intrusion dans la vie priv\u00e9e et l\u2019acc\u00e8s aux donn\u00e9es sans l\u2019accord des utilisateurs peut porter un vrai risque d\u2019image pour les employeurs.<\/li>\n<li>L\u2019asym\u00e9trie d\u2019acc\u00e8s aux donn\u00e9es est-elle acceptable ? Seules les entreprises qui en ont les moyens techniques et financiers pourront y acc\u00e9der.<\/li>\n<li>Le cadre d\u00e9ontologique et l\u00e9gal doit \u00eatre d\u00e9fini : les entreprises qui ont recours au Big data sont-elles transparentes quant \u00e0 l\u2019utilisation qui est faite des donn\u00e9es g\u00e9n\u00e9r\u00e9es ? Quelle garantie les employeurs donnent-ils quant \u00e0 une utilisation des analyses de donn\u00e9es \u00e0 bon escient (qui reste \u00e0 d\u00e9finir !) ?<\/li>\n<li>Quelle structure ou organisation aura la capacit\u00e9 de contraindre les acteurs priv\u00e9s au respect de la vie priv\u00e9e, de la d\u00e9ontologie, etc ?<\/li>\n<\/ul>\n<p>Tout en apparaissant comme un enjeu incontournable \u00e0 moyen ou long terme, le Big data dans les Ressources Humaines se heurte ainsi \u00e0 des limites qui peuvent freiner sa progression. Cette innovation reste cependant \u00e0 suivre de tr\u00e8s pr\u00e8s car nous, les acteurs RH, restons, par l\u2019utilisation que nous en ferons ainsi que par la place que nous lui accorderons, moteurs de son devenir.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Depuis la Caisse Nationale d&#8217;Assurance Maladie qui analyse les pathologies \u00e0 grande \u00e9chelle gr\u00e2ce aux prescriptions des m\u00e9decins, jusqu&#8217;aux Avionneurs qui \u00e9tudient les donn\u00e9es produites par les moteurs de leurs avions, en passant par Netflix qui produit House of Cards,&#8230;<\/p>\n","protected":false},"author":243,"featured_media":6122,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"page-templates\/tmpl-one.php","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1782,34],"tags":[189,1607,632,631,1120],"coauthors":[1537],"class_list":["post-5428","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ressources-humaines","category-strategie-d-entreprise","tag-big-data","tag-recrutement","tag-ressources-humaines","tag-rh","tag-talent-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Ressources Humaines et Big data, quel avenir ? - RiskInsight<\/title>\n<meta name=\"description\" content=\"Consid\u00e9r\u00e9 comme l\u2019un des principaux enjeux \u00e9conomiques, le Big data conna\u00eet une expansion tr\u00e8s forte. 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