{"id":5373,"date":"2023-01-16T16:40:40","date_gmt":"2023-01-16T15:40:40","guid":{"rendered":"https:\/\/sparkle.consulting\/?p=5373"},"modified":"2024-03-12T16:27:53","modified_gmt":"2024-03-12T15:27:53","slug":"the-data-quadrant-model","status":"publish","type":"post","link":"https:\/\/sparkle.consulting\/fr\/the-data-quadrant-model\/","title":{"rendered":"The Data Quadrant Model"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"5373\" class=\"elementor elementor-5373\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-83b9283 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"83b9283\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ece890b\" data-id=\"ece890b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e82bb5d elementor-widget elementor-widget-text-editor\" data-id=\"e82bb5d\" data-element_type=\"widget\" data-e-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\t\t<p>Pour d\u00e9finir votre strat\u00e9gie data, vous devez d'abord comprendre la valeur pr\u00e9cise de la donn\u00e9e et la fa\u00e7on de la g\u00e9rer. Nous avons eu une excellente session d'inspiration chez Sparkle avec <a href=\"https:\/\/www.linkedin.com\/in\/thefullscaledataarchitect\/\" target=\"_blank\" rel=\"noopener\">Martijn Evers<\/a>Martijn a soutenu <a href=\"https:\/\/www.linkedin.com\/in\/ronalddamhof\/\" target=\"_blank\" rel=\"noopener\">Ronald Damhof<\/a> dans le d\u00e9veloppement d'un Data Quadrant Model. C'est un excellent instrument pour visualiser aussi les d\u00e9cisions \u00e0 prendre au niveau strat\u00e9gique et il aborde les aspects qualit\u00e9 versus flexibilit\u00e9 (le bull) et donn\u00e9es versus valorisation des donn\u00e9es (Yin &amp; Yang).&nbsp;<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-96a646a elementor-widget elementor-widget-heading\" data-id=\"96a646a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Faites de la gestion des donn\u00e9es un sujet de discussion vivant dans toute l'organisation gr\u00e2ce au Data Quadrant Model<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-afad0c0 elementor-widget elementor-widget-text-editor\" data-id=\"afad0c0\" data-element_type=\"widget\" data-e-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\t\t<p>Martijn a d\u00e9taill\u00e9 tous les aspects pr\u00e9sents dans le Data Quadrant Model. Bien que la slide ne pr\u00e9sente qu'une vue simple avec des quadrants, le poster est impressionnant. Nous avons abord\u00e9 vraiment chaque aspect li\u00e9 \u00e0 la donn\u00e9e : entr\u00e9e\/sortie de donn\u00e9es, promotion des donn\u00e9es, data products, data lineage et bien plus encore.<\/p>\n<p>Chaque quadrant a un objectif sp\u00e9cifique, mais il est important de comprendre l'interaction entre les diff\u00e9rents quadrants.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8c1a882 elementor-widget elementor-widget-heading\" data-id=\"8c1a882\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Chaque quadrant un objectif sp\u00e9cifique<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ee678da elementor-widget elementor-widget-text-editor\" data-id=\"ee678da\" data-element_type=\"widget\" data-e-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\t\t<p>\u00c0 mon avis, la cl\u00e9 du Data Quadrant Model est le Fact Quadrant. Les donn\u00e9es du quadrant I sont l\u00e0 o\u00f9 vous trouvez les faits concrets. Les donn\u00e9es du quadrant I sont produites par des syst\u00e8mes et processus hautement standardis\u00e9s, elles sont donc enti\u00e8rement pr\u00e9visibles et r\u00e9p\u00e9tables.<\/p><p>Le quadrant II donne du contexte \u00e0 vos donn\u00e9es, le r\u00e9sultat est un data product. Techniquement, c'est simple, mais votre strat\u00e9gie data d\u00e9finira les r\u00e8gles n\u00e9cessaires pour \u00eatre disponible dans le quadrant.<\/p><p>Le quadrant III rassemble toutes les donn\u00e9es sous leur forme d'origine sans gouvernance, il offre de la flexibilit\u00e9 et s'inscrit pleinement dans l'ex\u00e9cution de la data governance.<\/p><p>Le quadrant IV est le terrain de jeu des data scientists et un endroit id\u00e9al pour pr\u00e9parer le data product qui sera plac\u00e9 dans le quadrant II.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-25900a9 elementor-widget elementor-widget-heading\" data-id=\"25900a9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Adoptez les principes du Data Quadrant Model<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8e61702 elementor-widget elementor-widget-text-editor\" data-id=\"8e61702\" data-element_type=\"widget\" data-e-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\t\t<p>Ce blog est bien trop court pour expliquer le Data Quadrant Model, mais\u00a0<a href=\"https:\/\/prudenza.typepad.com\/files\/english---the-data-quadrant-model-interview-ronald-damhof.pdf\" target=\"_blank\" rel=\"noopener\">cette interview<\/a>\u00a0avec Roland Damhof en aborde les d\u00e9tails.<\/p><p>Je ne peux qu'encourager nos coll\u00e8gues \u00e0 adopter les principes de ce Data Quadrant Model. Cela soutiendra votre travail de sp\u00e9cialiste des donn\u00e9es. Encore une fois, un grand merci \u00e0 Martijn pour ton temps et ton excellente pr\u00e9sentation. Nous avons tous appr\u00e9ci\u00e9 l'enthousiasme avec lequel tu as expliqu\u00e9 ce sujet int\u00e9ressant.<\/p>\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<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>The Data Quadrant model from Ronald Damhof is a great instrument to visualize the decisions to make on a strategic level and handles the aspects of quality versus flexibility and data versus data valorization. <\/p>","protected":false},"author":5,"featured_media":5328,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"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":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"categories":[14],"tags":[35,34,29],"class_list":["post-5373","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-strategy-business","tag-data-architecture","tag-data-quadrant","tag-data-strategy"],"acf":[],"uagb_featured_image_src":{"full":["https:\/\/sparkle.consulting\/wp-content\/uploads\/2022\/12\/DataQuadrantModel.png",904,498,false],"thumbnail":["https:\/\/sparkle.consulting\/wp-content\/uploads\/2022\/12\/DataQuadrantModel-150x150.png",150,150,true],"medium":["https:\/\/sparkle.consulting\/wp-content\/uploads\/2022\/12\/DataQuadrantModel-300x165.png",300,165,true],"medium_large":["https:\/\/sparkle.consulting\/wp-content\/uploads\/2022\/12\/DataQuadrantModel-768x423.png",768,423,true],"large":["https:\/\/sparkle.consulting\/wp-content\/uploads\/2022\/12\/DataQuadrantModel.png",904,498,false],"1536x1536":["https:\/\/sparkle.consulting\/wp-content\/uploads\/2022\/12\/DataQuadrantModel.png",904,498,false],"2048x2048":["https:\/\/sparkle.consulting\/wp-content\/uploads\/2022\/12\/DataQuadrantModel.png",904,498,false],"trp-custom-language-flag":["https:\/\/sparkle.consulting\/wp-content\/uploads\/2022\/12\/DataQuadrantModel.png",18,10,false]},"uagb_author_info":{"display_name":"Wilco Kaasenbrood","author_link":"https:\/\/sparkle.consulting\/fr\/author\/wilco-kaasenbroodsparkle-consulting\/"},"uagb_comment_info":0,"uagb_excerpt":"The Data Quadrant model from Ronald Damhof is a great instrument to visualize the decisions to make on a strategic level and handles the aspects of quality versus flexibility and data versus data valorization.","_links":{"self":[{"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/posts\/5373","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/comments?post=5373"}],"version-history":[{"count":19,"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/posts\/5373\/revisions"}],"predecessor-version":[{"id":10324,"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/posts\/5373\/revisions\/10324"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/media\/5328"}],"wp:attachment":[{"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/media?parent=5373"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/categories?post=5373"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/tags?post=5373"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}