{"id":2825,"date":"2020-03-10T16:13:33","date_gmt":"2020-03-10T08:13:33","guid":{"rendered":"https:\/\/www.moneythor.com\/?p=2825"},"modified":"2024-03-05T10:51:09","modified_gmt":"2024-03-05T02:51:09","slug":"limportance-de-la-maitrise-des-donnees-dans-le-secteur-bancaire","status":"publish","type":"post","link":"https:\/\/www.moneythor.com\/fr\/avis-danalyse\/limportance-de-la-maitrise-des-donnees-dans-le-secteur-bancaire\/","title":{"rendered":"L\u2019importance de la ma\u00eetrise des donn\u00e9es dans la banque num\u00e9rique"},"content":{"rendered":"<p>L\u2019importance des donn\u00e9es dans les activit\u00e9s commerciales et bancaires modernes ne peut \u00eatre sous-estim\u00e9e. Chaque interaction d\u2019un client avec une banque laisse une trace de donn\u00e9es et d\u2019informations, qui peuvent \u00eatre utilis\u00e9es pour offrir aux clients des exp\u00e9riences personnalis\u00e9es, r\u00e9duire les \u00e9carts de frais ou am\u00e9liorer les syst\u00e8mes et processus internes. Des \u00e9quipes de data scientists sont employ\u00e9es dans le monde entier pour exploiter et utiliser efficacement les donn\u00e9es afin de g\u00e9n\u00e9rer des revenus pour les banques.<\/p>\n<div class=\"column2\"><a href=\"https:\/\/moneythor.eo.page\/k8qzq\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"center\" src=\"https:\/\/www.moneythor.com\/wp-content\/uploads\/2020\/08\/Download-to-Read-Other-blog-links.png\" width=\"350\" height=\"400\" \/><\/a><\/div>\n<p>Mais les data scientists ne sont pas les seuls \u00e0 devoir g\u00e9rer les donn\u00e9es. Celles-ci circulent dans toute l&#039;organisation, impactant tous les domaines de l&#039;entreprise et croisant le chemin de toutes les \u00e9quipes, influen\u00e7ant les d\u00e9cisions et modifiant la trajectoire des plans et des processus.<\/p>\n<p>Les donn\u00e9es ont \u00e9t\u00e9 compar\u00e9es au p\u00e9trole et \u00e0 l\u2019air et sont appel\u00e9es \u00e0 devenir le prochain actif bancaire. Dans cette optique, les banques investissent massivement dans des syst\u00e8mes et des outils qui les aideront \u00e0 g\u00e9rer et \u00e0 utiliser efficacement les donn\u00e9es. Bien que cela en vaille la peine pour les banques, devenir une organisation ax\u00e9e sur les donn\u00e9es n\u00e9cessite plus que de simples mises \u00e0 jour du syst\u00e8me. Cr\u00e9er une organisation ax\u00e9e sur les donn\u00e9es signifie int\u00e9grer les donn\u00e9es dans tous les domaines de l\u2019entreprise et disposer d\u2019\u00e9quipes \u00e0 tous les niveaux et dans tous les services capables de lire, de comprendre et d\u2019utiliser ces donn\u00e9es.<\/p>\n<p>C\u2019est l\u00e0 qu\u2019intervient la ma\u00eetrise des donn\u00e9es. <a href=\"https:\/\/www.gartner.com\/smarterwithgartner\/a-data-and-analytics-leaders-guide-to-data-literacy\/\">Gartner<\/a> d\u00e9finit la litt\u00e9ratie des donn\u00e9es comme \u00ab la capacit\u00e9 de lire, d&#039;\u00e9crire et de communiquer des donn\u00e9es dans leur contexte, y compris la compr\u00e9hension des sources et des constructions de donn\u00e9es, des m\u00e9thodes et techniques d&#039;analyse appliqu\u00e9es - et la capacit\u00e9 de d\u00e9crire le cas d&#039;utilisation, l&#039;application et la valeur r\u00e9sultante \u00bb.<\/p>\n<p>Le manque de ma\u00eetrise des donn\u00e9es constitue un obstacle \u00e0 la croissance et \u00e0 la transformation des banques. \u00c0 mesure que les donn\u00e9es s\u2019int\u00e8grent de plus en plus dans les flux de travail quotidiens, elles ne feront qu\u2019accro\u00eetre le besoin de comp\u00e9tences accrues pour travailler avec les donn\u00e9es. Le maintien d\u2019un avantage concurrentiel n\u00e9cessite un meilleur acc\u00e8s aux donn\u00e9es et une meilleure compr\u00e9hension de celles-ci dans l\u2019ensemble de l\u2019organisation.<\/p>\n<p>Selon une enqu\u00eate r\u00e9alis\u00e9e par <a href=\"https:\/\/www.qlik.com\/us\/bi\/data-literacy\">QLIK,<\/a> Seuls 241 TP3T des d\u00e9cideurs d&#039;entreprise ont pleinement confiance en leur capacit\u00e9 \u00e0 lire, travailler, analyser et argumenter avec des donn\u00e9es. Cette \u00e9tude met en \u00e9vidence l&#039;\u00e9cart de comp\u00e9tences qui existe entre le niveau de ma\u00eetrise des donn\u00e9es exig\u00e9 des employ\u00e9s et celui qui existe actuellement.<\/p>\n<h2>Comment les banques peuvent-elles am\u00e9liorer la ma\u00eetrise des donn\u00e9es de leurs employ\u00e9s ?<\/h2>\n<p>Les banques devraient se concentrer sur l\u2019int\u00e9gration des donn\u00e9es dans tous les domaines de l\u2019entreprise afin de faire avancer l\u2019organisation vers la quatri\u00e8me r\u00e9volution industrielle.<\/p>\n<ul>\n<li>Entra\u00eenement<\/li>\n<\/ul>\n<p>L\u2019un des moyens les plus efficaces pour doter les employ\u00e9s des comp\u00e9tences n\u00e9cessaires \u00e0 la gestion efficace des donn\u00e9es est de mettre en place des plans et des programmes de formation pour tous les membres de l\u2019organisation. Les plans de formation peuvent \u00eatre efficaces, qu\u2019ils soient dispens\u00e9s en ligne ou en personne. Tant que les employ\u00e9s b\u00e9n\u00e9ficient du soutien, du temps et des ressources n\u00e9cessaires pour suivre la formation, celle-ci am\u00e9liorera consid\u00e9rablement la ma\u00eetrise globale des donn\u00e9es de l\u2019organisation.<\/p>\n<ul>\n<li>Terminologie simplifi\u00e9e<\/li>\n<\/ul>\n<p>Comme dans toute entreprise, il existe un certain jargon commercial associ\u00e9 \u00e0 la science des donn\u00e9es, ce qui peut rendre difficile pour les personnes ext\u00e9rieures au service de suivre la conversation et de comprendre ce qui est dit. Afin de rendre les donn\u00e9es plus accessibles et compr\u00e9hensibles, les data scientists doivent essayer d&#039;utiliser une terminologie simplifi\u00e9e avec les personnes ext\u00e9rieures \u00e0 leur service pour s&#039;assurer que tout le monde comprend ce qui se passe et leur donner la confiance n\u00e9cessaire pour participer aux discussions sur les donn\u00e9es.<\/p>\n<ul>\n<li>Acc\u00e8s aux outils<\/li>\n<\/ul>\n<p>Les analyses et les fiches techniques sont peut-\u00eatre les meilleures alli\u00e9es d&#039;un data scientist, mais pour une personne peu familiaris\u00e9e avec les donn\u00e9es, elles peuvent \u00eatre un v\u00e9ritable champ de mines. La cr\u00e9ation d&#039;outils et de tableaux de bord qui mettent en \u00e9vidence les informations cl\u00e9s et simplifient la compr\u00e9hension pour les employ\u00e9s r\u00e9duira la d\u00e9pendance des \u00e9quipes \u00e0 l&#039;\u00e9gard des data scientists et leur permettra de prendre des d\u00e9cisions centr\u00e9es sur les donn\u00e9es rapidement et efficacement.<\/p>\n<ul>\n<li>Une culture ax\u00e9e sur les donn\u00e9es<\/li>\n<\/ul>\n<p>Red\u00e9finir une culture demande du temps, de la pers\u00e9v\u00e9rance et le soutien des \u00e9quipes de direction. Pour adopter une culture ax\u00e9e sur les donn\u00e9es, il faut que cette approche soit une priorit\u00e9, encourag\u00e9e et promue par l\u2019\u00e9quipe de direction. Les communications internes, les \u00e9v\u00e9nements et les formations contribueront \u00e0 renforcer une culture centr\u00e9e sur les donn\u00e9es. R\u00e9compenser les personnes qui utilisent efficacement les donn\u00e9es contribuera \u00e9galement \u00e0 montrer l\u2019int\u00e9r\u00eat de l\u2019acquisition de ces nouvelles comp\u00e9tences, tant pour les employ\u00e9s que pour l\u2019organisation.<\/p>\n<p>Il est important que les banques prennent en compte la ma\u00eetrise des donn\u00e9es par leurs employ\u00e9s \u00e0 tous les niveaux de l\u2019organisation. En veillant \u00e0 ce que les employ\u00e9s aient acc\u00e8s aux donn\u00e9es et puissent les utiliser, ils peuvent cr\u00e9er une culture centr\u00e9e sur les donn\u00e9es qui permettra de prendre de meilleures d\u00e9cisions et d\u2019offrir de meilleures exp\u00e9riences aux clients.<\/p>\n<p>\u00a0<br \/><i>Article de blog mis \u00e0 jour en octobre 2020<\/i><\/p>\n<p><style>\n .column2 {\n        float: right;\n        width: 50%;\n        padding-left: 10px;\n        padding-top: 20px;\n    }\n<\/style>\n<\/p>\n\t<div class=\"img has-hover x md-x lg-x y md-y lg-y\" id=\"image_2081840019\">\n\t\t<a class=\"\" href=\"#newsletter-subscription-blog\" >\t\t\t\t\t\t<div class=\"img-inner dark\" >\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1020\" height=\"299\" src=\"https:\/\/www.moneythor.com\/wp-content\/uploads\/2024\/02\/Article-CTA-NEW-BRANDING.png\" class=\"attachment-large size-large\" alt=\"Abonnez-vous \u00e0 la newsletter Moneythor\" srcset=\"https:\/\/www.moneythor.com\/wp-content\/uploads\/2024\/02\/Article-CTA-NEW-BRANDING.png 1024w, https:\/\/www.moneythor.com\/wp-content\/uploads\/2024\/02\/Article-CTA-NEW-BRANDING-768x225.png 768w\" sizes=\"auto, (max-width: 1020px) 100vw, 1020px\" \/>\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/a>\t\t\n<style>\n#image_2081840019 {\n  width: 100%;\n}\n<\/style>\n\t<\/div>","protected":false},"excerpt":{"rendered":"<p>The importance of data in modern business and banking cannot be underestimated. Every interaction a customer has with a bank leaves a trail of data and information, which can be used to provide customers with personalised experiences, reduce fee discrepancies or improve internal systems and processes. Teams of data scientists are being employed globally to [&#8230;]\n","protected":false},"author":4,"featured_media":2831,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[7,279,64,10],"tags":[],"class_list":["post-2825","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analysis-opinions","category-blog","category-digital-banking","category-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The Importance of Data Literacy in Digital Banking | Moneythor<\/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:\/\/www.moneythor.com\/fr\/avis-danalyse\/limportance-de-la-maitrise-des-donnees-dans-le-secteur-bancaire\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Importance of Data Literacy in Digital Banking | Moneythor\" \/>\n<meta property=\"og:description\" content=\"The importance of data in modern business and banking cannot be underestimated. 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Every interaction a customer has with a bank leaves a trail of data and information, which can be used to provide customers with personalised experiences, reduce fee discrepancies or improve internal systems and processes. 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