{"id":12203,"date":"2020-10-07T11:52:53","date_gmt":"2020-10-07T11:52:53","guid":{"rendered":"https:\/\/projectsofar.info\/aisuperior\/?post_type=blog&#038;p=12203"},"modified":"2023-12-07T16:44:47","modified_gmt":"2023-12-07T16:44:47","slug":"whos-in-your-dream-data-team-the-optimal-data-team-structure","status":"publish","type":"blog","link":"https:\/\/aisuperior.com\/fr\/blog\/whos-in-your-dream-data-team-the-optimal-data-team-structure\/","title":{"rendered":"Qui fait partie de votre \u00e9quipe de donn\u00e9es de r\u00eave\u00a0? \u2013 La structure optimale de l\u2019\u00e9quipe de donn\u00e9es"},"content":{"rendered":"<p>La plupart des entreprises comprennent aujourd\u2019hui l\u2019importance d\u2019exploiter les donn\u00e9es et de les transformer en informations exploitables qui ajoutent de la valeur \u00e0 l\u2019entreprise. Cependant, de nombreuses entreprises sont encore bloqu\u00e9es lorsqu\u2019il s\u2019agit de mettre cela en \u0153uvre. Comment mobiliser une \u00e9quipe de data science ? Et quelle est la structure optimale de l\u2019\u00e9quipe de donn\u00e9es\u00a0? Nous avons les r\u00e9ponses.<\/p>\n<h2 class=\"wp-block-heading\">Scientifiques des donn\u00e9es<\/h2>\n<p>Vous ne pouvez pas diriger une \u00e9quipe de donn\u00e9es performante sans des data scientists. Les data scientists analysent et interpr\u00e8tent des donn\u00e9es num\u00e9riques complexes pour aider \u00e0 la prise de d\u00e9cision commerciale. Bien que le r\u00f4le du data scientist soit encore relativement nouveau, les data scientists existent sous de nombreuses formes depuis plusieurs ann\u00e9es maintenant. Avec l\u2019\u00e8re du Big Data et le boom actuel des donn\u00e9es, le nombre de data scientists a rapidement augment\u00e9. Cela est principalement d\u00fb \u00e0 deux facteurs.<\/p>\n<p>Premi\u00e8rement, la sph\u00e8re mondiale des donn\u00e9es (la quantit\u00e9 de donn\u00e9es que nous cr\u00e9ons, capturons, copions et consommons \u00e0 l\u2019\u00e9chelle mondiale) augmente de fa\u00e7on exponentielle. En tant que collectif, nous g\u00e9n\u00e9rerons plus de donn\u00e9es au cours des trois prochaines ann\u00e9es qu\u2019au cours des 30 derni\u00e8res ann\u00e9es . Plus de donn\u00e9es signifie que davantage d\u2019experts en donn\u00e9es, tels que des data scientists, sont n\u00e9cessaires pour analyser les donn\u00e9es. Les donn\u00e9es le confirment\u00a0; le nombre de data scientists a doubl\u00e9 au cours des quatre derni\u00e8res ann\u00e9es .<\/p>\n<p>Deuxi\u00e8mement, notre capacit\u00e9 \u00e0 analyser les donn\u00e9es s\u2019est consid\u00e9rablement am\u00e9lior\u00e9e au cours de la derni\u00e8re d\u00e9cennie et m\u00eame au cours des ann\u00e9es pr\u00e9c\u00e9dentes. Les outils, techniques, solutions et processus d\u2019analyse de donn\u00e9es sont d\u00e9sormais hautement perfectionn\u00e9s et g\u00e9n\u00e8rent par cons\u00e9quent des avantages significatifs pour les entreprises.<\/p>\n<p>Le r\u00f4le de data scientist comprend les responsabilit\u00e9s suivantes, et bien plus encore\u00a0:<\/p>\n<ul>\n<li>Cr\u00e9er des services qui automatisent les processus m\u00e9tier. Par exemple, la notation des risques en finance, l&#039;optimisation des politiques tarifaires en assurance ou l&#039;am\u00e9lioration des processus de contr\u00f4le qualit\u00e9 dans le secteur manufacturier.<\/li>\n<li>Extraire des informations cach\u00e9es des donn\u00e9es pour aider les gens dans la prise de d\u00e9cision. Par exemple, la d\u00e9tection du cancer sur les images CT ou l&#039;am\u00e9lioration des environnements urbains en utilisant la dynamique du trafic et l&#039;analyse d&#039;images satellite.<\/li>\n<li>Travailler en \u00e9troite collaboration avec l&#039;entreprise pour identifier les probl\u00e8mes et les mod\u00e8les dans les donn\u00e9es et proposer des solutions<\/li>\n<li>Utiliser des outils d&#039;apprentissage automatique, des techniques statistiques et l&#039;intelligence artificielle pour cr\u00e9er des solutions<\/li>\n<li>Tester et d\u00e9terminer les meilleurs mod\u00e8les d&#039;exploration de donn\u00e9es pour diff\u00e9rents projets<\/li>\n<li>Cr\u00e9er des rapports clairs.<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\">Quelles comp\u00e9tences sont essentielles pour les data scientists ?<\/h2>\n<p>Si vous recrutez des data scientists pour votre entreprise, vous devez rechercher des candidats poss\u00e9dant les comp\u00e9tences suivantes :<\/p>\n<ul>\n<li>Une solide exp\u00e9rience en programmation, statistiques et apprentissage automatique<\/li>\n<li>Excellentes comp\u00e9tences en r\u00e9solution de probl\u00e8mes, en pens\u00e9e critique et en analyse<\/li>\n<li>Comp\u00e9tences exceptionnelles en communication et en pr\u00e9sentation. Les data scientists doivent \u00eatre capables de traduire leurs conclusions dans l&#039;entreprise d&#039;une mani\u00e8re qui soutient et encourage une meilleure prise de d\u00e9cision.<\/li>\n<li>Bonne attention aux d\u00e9tails<\/li>\n<li>Capacit\u00e9s de dynamisme, de r\u00e9silience et de pens\u00e9e cr\u00e9ative. Les data scientists doivent \u00eatre capables de travailler avec un minimum de supervision mais de diriger continuellement des initiatives de science des donn\u00e9es.<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\">Ing\u00e9nieurs de donn\u00e9es<\/h2>\n<p>Les ing\u00e9nieurs de donn\u00e9es sont un \u00e9l\u00e9ment crucial de toute \u00e9quipe de science des donn\u00e9es. L&#039;objectif principal des ing\u00e9nieurs de donn\u00e9es est de cr\u00e9er une infrastructure permettant une collecte, un traitement et un stockage efficaces des donn\u00e9es. Ils doivent \u00eatre capables de d\u00e9velopper des solutions \u00e9volutives qui garantissent, entre autres, une capture de donn\u00e9es de haute qualit\u00e9. Les gens utilisent souvent les termes data scientist et data Engineer de mani\u00e8re interchangeable, mais ce sont des r\u00f4les distincts. Les ing\u00e9nieurs de donn\u00e9es peuvent \u00eatre consid\u00e9r\u00e9s comme des ing\u00e9nieurs logiciels, mais avec un accent sp\u00e9cifique sur les donn\u00e9es. Leur t\u00e2che principale est de transformer les donn\u00e9es dans un format pouvant \u00eatre facilement analys\u00e9, et ce, en maintenant, en d\u00e9veloppant et en testant l&#039;infrastructure. Ils travaillent en \u00e9troite collaboration avec des data scientists et sont principalement responsables de l&#039;architecture des solutions pour les data scientists. En termes simples, les ing\u00e9nieurs de donn\u00e9es permettent aux data scientists de faire leur travail.<\/p>\n<p>Au-del\u00e0 de ce qui pr\u00e9c\u00e8de, les ing\u00e9nieurs de donn\u00e9es effectuent les t\u00e2ches suivantes\u00a0:<\/p>\n<ul>\n<li>Cr\u00e9er et maintenir une architecture de pipeline de donn\u00e9es<\/li>\n<li>D\u00e9ployer des solutions d&#039;apprentissage automatique dans des environnements de production<\/li>\n<li>\u00c9crivez le code des solutions de donn\u00e9es avec l&#039;aide de data scientists et de DevOps<\/li>\n<li>Cr\u00e9ez des solutions optimales d&#039;extraction ou de transformation de donn\u00e9es \u00e0 l&#039;aide de SQL, AWS et d&#039;autres technologies.<\/li>\n<li>Gardez les donn\u00e9es s\u00e9par\u00e9es et s\u00e9curis\u00e9es<\/li>\n<li>Documenter les mappages source-cible.<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\">Quelles comp\u00e9tences sont essentielles pour les ing\u00e9nieurs de donn\u00e9es ?<\/h2>\n<ul>\n<li>Solide exp\u00e9rience en d\u00e9veloppement de logiciels et compr\u00e9hension approfondie des bases de donn\u00e9es et des algorithmes<\/li>\n<li>Connaissance approfondie du processus de d\u00e9veloppement de donn\u00e9es (doit \u00eatre capable d&#039;int\u00e9grer et de s\u00e9parer des flux de donn\u00e9es pour transformer, cartographier ou produire de nouveaux produits de donn\u00e9es)<\/li>\n<li>Comprendre les solutions d&#039;entreposage de donn\u00e9es, la mod\u00e9lisation des donn\u00e9es, la mod\u00e9lisation pr\u00e9dictive, les outils ETL, les statistiques et les math\u00e9matiques, ainsi que l&#039;apprentissage automatique<\/li>\n<li>De solides comp\u00e9tences en communication.<\/li>\n<\/ul>\n<p>Les r\u00f4les ci-dessus capturent les principales responsabilit\u00e9s au sein d&#039;une \u00e9quipe de donn\u00e9es\u00a0; cependant, la liste n&#039;est pas exhaustive. C&#039;est toujours une bonne id\u00e9e de combiner l&#039;\u00e9quipe de science des donn\u00e9es avec un ensemble diversifi\u00e9 de professionnels. Par exemple, les professionnels ayant une formation en MBA et en statistiques sont un excellent ajout \u00e0 toute \u00e9quipe de donn\u00e9es car ils poss\u00e8dent de solides comp\u00e9tences transf\u00e9rables. Les professionnels issus de ces milieux excellent dans la d\u00e9finition des probl\u00e8mes commerciaux et dans le d\u00e9veloppement de solutions en utilisant les donn\u00e9es. De m\u00eame, un sp\u00e9cialiste r\u00e9silient titulaire d\u2019un doctorat en physique ou dans une discipline math\u00e9matique connexe poss\u00e9dera \u00e9galement de solides comp\u00e9tences techniques en r\u00e9solution de probl\u00e8mes et sera capable de cr\u00e9er des solutions \u00e9l\u00e9gantes \u00e0 des probl\u00e8mes complexes.<\/p>\n<h2 class=\"wp-block-heading\">Sp\u00e9cialistes en intelligence d&#039;affaires<\/h2>\n<p>Les sp\u00e9cialistes de la Business Intelligence d\u00e9finissent des indicateurs cl\u00e9s de performance (KPI) en fonction des exigences de l&#039;entreprise. Ils utilisent \u00e9galement des tableaux de bord pour cr\u00e9er des visualisations perspicaces afin d&#039;aider les d\u00e9cideurs commerciaux \u00e0 comprendre les donn\u00e9es et les KPI. En termes simples, les sp\u00e9cialistes de la business intelligence convertissent les donn\u00e9es froides dans un format facilement compr\u00e9hensible par les utilisateurs, quel que soit leur parcours. Les donn\u00e9es ne sont utiles que si elles sont comprises, et elles doivent surtout \u00eatre utilisables par les principaux d\u00e9cideurs.<\/p>\n<p>Les principales comp\u00e9tences sp\u00e9cialis\u00e9es en business intelligence sont\u00a0:<\/p>\n<ul>\n<li>Comp\u00e9tences analytiques<\/li>\n<li>Compr\u00e9hension des besoins de l&#039;entreprise<\/li>\n<li>Connaissance d&#039;ETL, SQL, Tableau, Looker<\/li>\n<li>Bonne ma\u00eetrise des m\u00e9thodologies de visualisation (comment rendre les donn\u00e9es compr\u00e9hensibles et digestibles en un coup d&#039;\u0153il, utilisation efficace de la couleur, etc.).<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Most companies today understand the importance of harnessing data and transforming it into actionable insights that add value to the business. However, many companies are still stuck when it comes to putting this into action. How do you mobilize a data science team? And what is the optimal data team structure? We have the answers. [&hellip;]<\/p>\n","protected":false},"featured_media":12204,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"categories":[8],"class_list":["post-12203","blog","type-blog","status-publish","has-post-thumbnail","hentry","category-ai","blog_category-ai"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Who\u2019s in Your Dream Data Team? \u2013 The Optimal Data Team Structure<\/title>\n<meta name=\"description\" content=\"Learn how to structure an effective data team with roles like data scientists and engineers and discover the essential skills for each role\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aisuperior.com\/fr\/blog\/whos-in-your-dream-data-team-the-optimal-data-team-structure\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Who\u2019s in Your Dream Data Team? \u2013 The Optimal Data Team Structure\" \/>\n<meta property=\"og:description\" content=\"Learn how to structure an effective data team with roles like data scientists and engineers and discover the essential skills for each role\" \/>\n<meta property=\"og:url\" content=\"https:\/\/aisuperior.com\/fr\/blog\/whos-in-your-dream-data-team-the-optimal-data-team-structure\/\" \/>\n<meta property=\"og:site_name\" content=\"aisuperior\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/aisuperior\" \/>\n<meta property=\"article:modified_time\" content=\"2023-12-07T16:44:47+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/aisuperior.com\/wp-content\/uploads\/2023\/09\/data_science_team-min-1024x683-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"683\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@aisuperior\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/aisuperior.com\\\/blog\\\/whos-in-your-dream-data-team-the-optimal-data-team-structure\\\/\",\"url\":\"https:\\\/\\\/aisuperior.com\\\/blog\\\/whos-in-your-dream-data-team-the-optimal-data-team-structure\\\/\",\"name\":\"Who\u2019s in Your Dream Data Team? 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