{"id":3341,"date":"2026-02-24T20:40:26","date_gmt":"2026-02-24T20:40:26","guid":{"rendered":"https:\/\/www.diagrams-ai.com\/fr\/the-ultimate-guide-to-soar-analysis-strategic-planning-with-ai\/"},"modified":"2026-02-24T20:40:26","modified_gmt":"2026-02-24T20:40:26","slug":"the-ultimate-guide-to-soar-analysis-strategic-planning-with-ai","status":"publish","type":"post","link":"https:\/\/www.diagrams-ai.com\/fr\/the-ultimate-guide-to-soar-analysis-strategic-planning-with-ai\/","title":{"rendered":"Le guide ultime de l&#8217;analyse SOAR : la planification strat\u00e9gique avec l&#8217;intelligence artificielle"},"content":{"rendered":"<p>Dans le paysage dynamique des affaires modernes, les m\u00e9thodes traditionnelles de planification se concentrent souvent fortement sur la r\u00e9duction des risques et la correction des faiblesses. Bien que valable, cette approche peut parfois \u00e9touffer l&#8217;innovation. Entrez le <strong>Analyse SOAR<\/strong>\u2014un cadre innovant con\u00e7u pour exploiter le potentiel d&#8217;une organisation. En se concentrant sur les Forces, les Opportunit\u00e9s, les Aspirations et les R\u00e9sultats, SOAR d\u00e9place la conversation de \u00ab ce qui ne va pas \u00bb vers \u00ab ce qui est possible \u00bb.<br \/><img alt=\"layout of SOAR\" decoding=\"async\" src=\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/Soar-layout-1024x540.png\"\/><\/p>\n<p>Ce guide complet explore les m\u00e9canismes du cadre SOAR, fournit des directives concr\u00e8tes pour sa mise en \u0153uvre, et montre comment l&#8217;outil Business Canvas aliment\u00e9 par l&#8217;IA de Visual Paradigm peut r\u00e9volutionner vos <a href=\"https:\/\/www.visual-paradigm.com\/features\/strategic-analysis-tools\/\">sessions de planification strat\u00e9gique<\/a>sessions.<\/p>\n<h2>Concepts cl\u00e9s : comprendre le cadre SOAR<\/h2>\n<p>Avant de passer \u00e0 l&#8217;ex\u00e9cution, il est essentiel de comprendre les quatre piliers qui constituent une analyse SOAR. Contrairement \u00e0 <a href=\"https:\/\/www.visual-paradigm.com\/guide\/strategic-analysis\/what-is-swot-analysis\/\">SWOT<\/a>, qui \u00e9quilibre les facteurs positifs et n\u00e9gatifs, SOAR est un outil d&#8217;investigation appr\u00e9ciative qui se concentre presque exclusivement sur les attributs positifs et le potentiel futur.<\/p>\n<ul>\n<li><strong>Forces (S) :<\/strong> Cela concerne ce que l&#8217;organisation fait bien <em>maintenant<\/em>. Il s&#8217;agit d&#8217;identifier les comp\u00e9tences fondamentales, les actifs uniques et les ressources qui conf\u00e8rent un avantage concurrentiel. Les questions \u00e0 poser incluent : <em>Quels sont nos plus grands atouts ? Que nos clients aiment-ils chez nous ?<\/em><\/li>\n<li><strong>Opportunit\u00e9s (O) :<\/strong> Ce sont des circonstances externes que l&#8217;organisation peut exploiter pour cro\u00eetre. Les opportunit\u00e9s dans SOAR sont souvent formul\u00e9es en examinant les tendances du march\u00e9, les lacunes dans l&#8217;industrie ou de nouvelles collaborations. Les questions \u00e0 poser incluent : <em>Dans quels nouveaux march\u00e9s pouvons-nous entrer ? Quelles tendances s&#8217;alignent avec nos forces ?<\/em><\/li>\n<li><strong>Aspirations (A) :<\/strong> Ce pilier repr\u00e9sente la vision de l&#8217;avenir. C&#8217;est l\u00e0 que l&#8217;organisation d\u00e9finit ce qu&#8217;elle souhaite devenir, ind\u00e9pendamment des contraintes actuelles. Il refl\u00e8te le d\u00e9sir collectif des parties prenantes. Les questions \u00e0 poser incluent : <em>\u00c0 quoi ressemble notre avenir id\u00e9al ? Quelle est notre passion ?<\/em><\/li>\n<li><strong>R\u00e9sultats (R) :<\/strong> Pour ancrer les aspirations dans la r\u00e9alit\u00e9, vous devez d\u00e9finir des r\u00e9sultats mesurables. Les r\u00e9sultats indiquent comment vous saurez que vous avez r\u00e9ussi \u00e0 atteindre vos aspirations. Les questions \u00e0 poser incluent : <em>Comment mesurons-nous le succ\u00e8s ? Quels sont nos indicateurs cl\u00e9s de performance (KPI) ?<\/em><\/li>\n<\/ul>\n<h3>SOAR vs. SWOT : une comparaison rapide<\/h3>\n<p>Bien que les deux cadres soient essentiels \u00e0 la planification strat\u00e9gique, ils servent des objectifs psychologiques et tactiques diff\u00e9rents.<\/p>\n<table>\n<tbody>\n<tr>\n<th>Fonctionnalit\u00e9<\/th>\n<th><a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/swot-analysis-tool\/\">Analyse SWOT<\/a><\/th>\n<th>Analyse SOAR<\/th>\n<\/tr>\n<tr>\n<td><strong>Focus<\/strong><\/td>\n<td>Analyse de l&#8217;\u00e9tat actuel (Bons et mauvais points)<\/td>\n<td>Possibilit\u00e9s pour l&#8217;avenir (Forces et vision)<\/td>\n<\/tr>\n<tr>\n<td><strong> mentalit\u00e9<\/strong><\/td>\n<td>Att\u00e9nuation des risques et concurrence<\/td>\n<td>Innovation et collaboration<\/td>\n<\/tr>\n<tr>\n<td><strong>Point de d\u00e9part<\/strong><\/td>\n<td>Audit interne et externe<\/td>\n<td>Recherche ax\u00e9e sur les forces<\/td>\n<\/tr>\n<tr>\n<td><strong>R\u00e9sultat<\/strong><\/td>\n<td>D\u00e9fense strat\u00e9gique et am\u00e9lioration<\/td>\n<td>Croissance strat\u00e9gique et alignement<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>VP AI : Automatisation de la strat\u00e9gie avec Visual Paradigm<\/h2>\n<p>La planification strat\u00e9gique stagne souvent pendant la phase d&#8217;id\u00e9ation ou lorsqu&#8217;il s&#8217;agit de formater des id\u00e9es complexes en un document pr\u00e9sentable. L&#8217;outil AI-powered de Visual Paradigm<a href=\"https:\/\/www.visual-paradigm.com\/features\/analysis-canvas-tool\/\">Outil de tableau<\/a> agit comme un multiplicateur de force pour les \u00e9quipes strat\u00e9giques, vous faisant passer d&#8217;une page blanche \u00e0 un plan complet en quelques secondes.<\/p>\n<p><img alt=\"\" decoding=\"async\" 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\"\/><\/p>\n<h3>G\u00e9n\u00e9ration de tableaux aliment\u00e9e par l&#8217;IA<\/h3>\n<p>Le plus grand obstacle dans la planification strat\u00e9gique est le \u00ab d\u00e9marrage froid \u00bb. Avec VP AI, vous pouvez g\u00e9n\u00e9rer un tableau SOAR complet \u00e0 partir d&#8217;une seule requ\u00eate. Par exemple, en saisissant \u00ab Analyse SOAR pour une marque de mode durable \u00bb, l&#8217;IA remplit instantan\u00e9ment le tableau avec :<\/p>\n<ul>\n<li><strong>Forces :<\/strong> Par exemple \u00ab v\u00e9rification de la cha\u00eene d&#8217;approvisionnement \u00e9thique \u00bb ou \u00ab forte fid\u00e9lit\u00e9 de la marque parmi les jeunes de la g\u00e9n\u00e9ration Z \u00bb.<\/li>\n<li><strong>Opportunit\u00e9s :<\/strong> Identifier des tendances telles que \u00ab adoption de l&#8217;\u00e9conomie circulaire \u00bb ou \u00ab actifs num\u00e9riques de mode \u00bb.<\/li>\n<li><strong>Aspirations :<\/strong> R\u00e9daction de <a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/vision-and-strategy-template\/\">d\u00e9clarations de vision<\/a> telles que \u00ab Devenir la norme mondiale pour le commerce de d\u00e9tail sans d\u00e9chets. \u00bb<\/li>\n<li><strong>R\u00e9sultats :<\/strong> Proposant des indicateurs tels que \u00ab r\u00e9duction de 20 % de l&#8217;empreinte carbone d&#8217;ici le quatri\u00e8me trimestre. \u00bb<\/li>\n<\/ul>\n<h3>Id\u00e9ation assist\u00e9e par l&#8217;IA et analyses approfondies<\/h3>\n<p>Au-del\u00e0 de la g\u00e9n\u00e9ration initiale, l&#8217;IA aide \u00e0 surmonter le blocage cr\u00e9atif pendant la phase de perfectionnement. Si votre \u00e9quipe peine \u00e0 formuler une opportunit\u00e9 pr\u00e9cise, l&#8217;IA peut analyser les signaux actuels du march\u00e9 et les transitions industrielles pour inspirer de nouvelles orientations. En outre, l&#8217;outil permet des analyses approfondies : vous pouvez passer d&#8217;une vue d&#8217;ensemble du tableau \u00e0 une vue centr\u00e9e sur une seule section (par exemple, les aspirations) pour ajouter des cat\u00e9gories, attacher des insights et structurer le r\u00e9cit sans distractions.<\/p>\n<h3>Analyse strat\u00e9gique et rapports<\/h3>\n<p>VP AI va au-del\u00e0 de la simple cr\u00e9ation de listes. Il \u00e9value la logique de votre canevas, en v\u00e9rifiant si vos opportunit\u00e9s soutiennent r\u00e9ellement vos aspirations. Une fois finalis\u00e9, l&#8217;outil facilite les exports professionnels. Vous pouvez transformer votre canevas visuel et vos insights g\u00e9n\u00e9r\u00e9s par l&#8217;IA en documents soign\u00e9s au format Word, Markdown ou PDF, pr\u00eats pour des pr\u00e9sentations aux parties prenantes.<\/p>\n<h2>Guides : Mise en \u0153uvre \u00e9tape par \u00e9tape<\/h2>\n<p>Pour mener \u00e0 bien une analyse SOAR r\u00e9ussie, suivez cette approche structur\u00e9e afin d&#8217;assurer une alignement et des r\u00e9sultats concrets.<\/p>\n<h3>\u00c9tape 1 : Lancer l&#8217;investigation<\/h3>\n<p>R\u00e9unissez un groupe diversifi\u00e9 de parties prenantes. Comme l&#8217;analyse SOAR repose sur les forces et les aspirations, elle b\u00e9n\u00e9ficie d&#8217;un m\u00e9lange de dirigeants, d&#8217;employ\u00e9s de premi\u00e8re ligne et m\u00eame de clients. Instaurez un ton positif en pr\u00e9sentant la session comme une exploration des potentiels plut\u00f4t qu&#8217;une critique des performances.<\/p>\n<h3>\u00c9tape 2 : Identifier les forces (le \u00ab maintenant \u00bb)<\/h3>\n<p>Commencez par cartographier ce qui existe aujourd&#8217;hui. Concentrez-vous sur les actifs tangibles (capital, technologie propri\u00e9taire) et les actifs intangibles (r\u00e9putation de marque, culture d&#8217;entreprise). Utilisez l&#8217;outil VP AI pour cat\u00e9goriser ces forces afin de voir quelles parties de l&#8217;entreprise sont les plus solides.<\/p>\n<h3>\u00c9tape 3 : D\u00e9couvrir les opportunit\u00e9s (le \u00ab prochain \u00bb)<\/h3>\n<p>Regardez vers l&#8217;ext\u00e9rieur. Analysez l&#8217;environnement externe pour trouver des correspondances avec vos forces internes. Cette \u00e9tape n\u00e9cessite <a href=\"https:\/\/guides.visual-paradigm.com\/what-is-a-gap-analysis-your-guide-to-ai-powered-strategic-planning\/\">pontifier le foss\u00e9<\/a> entre ce que vous ma\u00eetrisez et ce dont le march\u00e9 a besoin. Assurez-vous que ces opportunit\u00e9s sont r\u00e9alistes et r\u00e9alisables.<\/p>\n<h3>\u00c9tape 4 : D\u00e9finir les aspirations (le \u00ab futur \u00bb)<\/h3>\n<p>C&#8217;est la phase cr\u00e9ative. Incitez les parties prenantes \u00e0 r\u00eaver grand. Quelle devrait \u00eatre la r\u00e9putation de l&#8217;organisation dans 5 ou 10 ans ? Cette section doit \u00eatre \u00e9motionnelle et inspirante, pour stimuler la passion de l&#8217;\u00e9quipe.<\/p>\n<h3>\u00c9tape 5 : D\u00e9terminer les r\u00e9sultats (le \u00ab mesure \u00bb)<\/h3>\n<p>Traduisez les aspirations en donn\u00e9es. Si l&#8217;aspiration est \u00ab leadership du march\u00e9 \u00bb, le r\u00e9sultat pourrait \u00eatre \u00ab 40 % de part de march\u00e9 \u00bb. Assurez-vous que chaque aspiration a une m\u00e9trique correspondante. Cela transforme la vision strat\u00e9gique en un plan tactique <a href=\"https:\/\/www.visual-paradigm.com\/features\/roadmap-software\/\">plan d&#8217;action<\/a>.<\/p>\n<h2>Conseils et astuces pour maximiser l&#8217;efficacit\u00e9 de SOAR<\/h2>\n<p>Optimiser votre <a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/strategic-analysis-tool\/\">analyse strat\u00e9gique<\/a>exige plus que de simplement remplir des cases. Utilisez ces conseils pour am\u00e9liorer l&#8217;efficacit\u00e9 de vos sessions SOAR.<\/p>\n<ul>\n<li><strong>Combiner avec d&#8217;autres canevas :<\/strong> L&#8217;outil Visual Paradigm propose des cadres comme le <em>Matrice Impact-Effort<\/em>. Apr\u00e8s avoir g\u00e9n\u00e9r\u00e9 des id\u00e9es dans SOAR, transf\u00e9rez-les dans une matrice Impact-Effort pour prioriser les opportunit\u00e9s \u00e0 poursuivre en premier.<\/li>\n<li><strong>Utilisez la m\u00e9thode des \u00ab 5 pourquoi \u00bb pour les aspirations :<\/strong> Lorsqu&#8217;un membre de l&#8217;\u00e9quipe propose une aspiration, posez \u00ab Pourquoi ? \u00bb cinq fois pour approfondir jusqu&#8217;\u00e0 la motivation et la valeur fondamentales. Cela conduit \u00e0 des \u00e9nonc\u00e9s de vision plus significatifs.<\/li>\n<li><strong>It\u00e9rer r\u00e9guli\u00e8rement :<\/strong> Une analyse SOAR n&#8217;est pas un document ponctuel. Les march\u00e9s \u00e9voluent, tout comme les forces. Revenez sur le canevas tous les trois mois pour ajuster les r\u00e9sultats et les opportunit\u00e9s en fonction des retours du monde r\u00e9el.<\/li>\n<li><strong>Exploitez les exports professionnels :<\/strong>N&#8217;attendez pas que la strat\u00e9gie meure dans le logiciel. Utilisez la fonction d&#8217;exportation pour cr\u00e9er un mur strat\u00e9gique physique dans votre bureau ou un guide num\u00e9rique pour les \u00e9quipes \u00e0 distance afin de garder les aspirations visibles quotidiennement.<\/li>\n<\/ul>\n<div>\n<div class=\"cl-preview-section\" style='color: rgba(0, 0, 0, 0.75); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; background-color: rgb(243, 243, 243);'>\n<h2 id=\"resource\" style=\"margin-top: 0px; margin-bottom: 1.8em; line-height: 1.33;\">Ressource<\/h2>\n<\/div>\n<div class=\"cl-preview-section\" style='color: rgba(0, 0, 0, 0.75); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; background-color: rgb(243, 243, 243);'>\n<ul style=\"margin-top: 1.2em; margin-bottom: 1.2em; margin-left: 0px;\">\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.archimetric.com\/what-is-the-business-model-canvas-why-use-visual-paradigms-ai-bmc-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Qu&#8217;est-ce que le Business Model Canvas ? Pourquoi utiliser les paradigmes visuels et les outils d&#8217;IA ?<\/a>: Ce guide complet explique le Business Model Canvas, ses composants essentiels, et comment les paradigmes visuels et les outils aliment\u00e9s par l&#8217;IA am\u00e9liorent la planification strat\u00e9gique et l&#8217;innovation commerciale.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/business-model-canvas-builder\/editor\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Constructeur de Business Model Canvas aliment\u00e9 par l&#8217;IA \u2013 Conception strat\u00e9gique instantan\u00e9e<\/a>: Un outil pilot\u00e9 par l&#8217;IA qui automatiser la cr\u00e9ation de tableaux de mod\u00e8le d&#8217;affaires, offrant des suggestions intelligentes et des aper\u00e7us en temps r\u00e9el pour acc\u00e9l\u00e9rer la planification commerciale.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai-toolbox.visual-paradigm.com\/app\/canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Outil de tableau IA \u2013 Conception intelligente pour les cadres commerciaux<\/a>: Une application de tableau aliment\u00e9e par l&#8217;IA qui aide les utilisateurs \u00e0 g\u00e9n\u00e9rer et \u00e0 affiner les mod\u00e8les d&#8217;entreprise, les propositions de valeur et les cadres strat\u00e9giques gr\u00e2ce \u00e0 des suggestions intelligentes et \u00e0 l&#8217;automatisation.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.visual-paradigm.com\/solution\/ai-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Outil de tableau de mod\u00e8le d&#8217;affaires aliment\u00e9 par l&#8217;IA \u2013 D\u00e9veloppement strat\u00e9gique intelligent<\/a>: Une solution compl\u00e8te am\u00e9lior\u00e9e par l&#8217;IA pour construire et affiner les mod\u00e8les d&#8217;entreprise avec des insights intelligents, des retours en temps r\u00e9el et des fonctionnalit\u00e9s collaboratives.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/updates.visual-paradigm.com\/releases\/ai-canvas-editor\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Mise \u00e0 jour de la version de l&#8217;\u00e9diteur de tableau IA<\/a>: Pr\u00e9sente un \u00e9diteur de tableau aliment\u00e9 par l&#8217;IA qui am\u00e9liore la cr\u00e9ation de diagrammes gr\u00e2ce \u00e0 des suggestions intelligentes et \u00e0 une optimisation automatique du layout.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/guides.visual-paradigm.com\/ai-powered-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Guide de l&#8217;outil de tableau de mod\u00e8le d&#8217;affaires aliment\u00e9 par l&#8217;IA<\/a>: Un guide \u00e9tape par \u00e9tape sur l&#8217;utilisation d&#8217;un outil am\u00e9lior\u00e9 par l&#8217;IA pour g\u00e9n\u00e9rer et affiner des tableaux de mod\u00e8le d&#8217;affaires avec des entr\u00e9es intelligentes et des recommandations en temps r\u00e9el.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/mission-model-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tableau du mod\u00e8le de mission | Outil strat\u00e9gique aliment\u00e9 par l&#8217;IA par VP<\/a>: 28 octobre 2025 \u2013 Coordonnez des sessions en direct avec votre \u00e9quipe \u00e0 l&#8217;aide du minuteur int\u00e9gr\u00e9 et exportez votre tableau final ou vos rapports dans des formats professionnels tels que Word, Markdown ou CSV. \u2026 Le tableau du mod\u00e8le de mission est sp\u00e9cifiquement con\u00e7u pour les ONG, les organismes gouvernementaux, les entreprises sociales et toutes organisations dont l&#8217;objectif principal est la r\u00e9alisation de la mission plut\u00f4t que le profit.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.cybermedian.com\/comprehensive-tutorial-ai-powered-business-canvas-toolkit-with-visual-paradigm\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tutoriel complet : Ensemble d&#8217;outils de tableau d&#8217;affaires aliment\u00e9 par l&#8217;IA avec Visual Paradigm<\/a>: Cette page fournit un guide d\u00e9taill\u00e9 sur l&#8217;utilisation d&#8217;un ensemble d&#8217;outils de tableau de mod\u00e8le d&#8217;affaires am\u00e9lior\u00e9 par l&#8217;IA int\u00e9gr\u00e9 \u00e0 Visual Paradigm pour le d\u00e9veloppement automatis\u00e9 de strat\u00e9gies commerciales.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/tool\/canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Outil de tableau IA \u2013 Visual Paradigm<\/a>: Un outil pilot\u00e9 par l&#8217;IA au sein de Visual Paradigm qui permet aux utilisateurs de g\u00e9n\u00e9rer et de peaufiner des tableaux d&#8217;affaires gr\u00e2ce \u00e0 une automatisation intelligente et \u00e0 l&#8217;entr\u00e9e par langage naturel.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.diagrams-ai.com\/blog\/mastering-the-business-model-canvas-with-ai-a-step-by-step-guide-using-visual-paradigm\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Ma\u00eetriser le tableau de mod\u00e8le d&#8217;affaires avec l&#8217;IA : Guide \u00e9tape par \u00e9tape en utilisant Visual Paradigm<\/a>: Ce billet de blog propose une pr\u00e9sentation structur\u00e9e de l&#8217;utilisation des capacit\u00e9s d&#8217;IA dans Visual Paradigm pour cr\u00e9er, personnaliser et optimiser efficacement les tableaux de mod\u00e8le d&#8217;affaires.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/tool\/business-model-canvas-builder\/how-it-works\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Comment fonctionne le constructeur de tableau de mod\u00e8le d&#8217;affaires aliment\u00e9 par l&#8217;IA \u2013 Visual Paradigm<\/a>: Cette page explique la fonctionnalit\u00e9 du constructeur de tableau de mod\u00e8le d&#8217;affaires aliment\u00e9 par l&#8217;IA, mettant en \u00e9vidence la mani\u00e8re dont l&#8217;intelligence artificielle automatise la cr\u00e9ation de tableaux et la g\u00e9n\u00e9ration d&#8217;insights strat\u00e9giques.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/templates\/analysis-canvas\/strategy-tools\/deep-learning-ai-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tableau IA d&#8217;apprentissage profond | Mod\u00e8le de tableau d&#8217;analyse d&#8217;outils strat\u00e9giques<\/a>: \u00c9diter la version localis\u00e9e : \u6df1\u5ea6\u5b78\u7fd2 AI \u756b\u5e03(TW) | \u6df1\u5ea6\u5b66\u4e60 AI \u753b\u5e03(CN) Afficher cette page en : EN TW CN \u00b7 Visual Paradigm Online (VP Online) est un logiciel de diagrammes en ligne qui prend en charge les tableaux d&#8217;analyse, divers graphiques, UML, diagrammes de flux, sch\u00e9mas de rack, organigrammes, arbre g\u00e9n\u00e9alogique, MCD, plans d&#8217;\u00e9tage, etc.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/product-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tableau produit | Outil strat\u00e9gique aliment\u00e9 par l&#8217;IA par VP<\/a>: Cr\u00e9ez des produits que les gens aiment. R\u00e9unissez strat\u00e9gie, conception et retours dans un espace visuel unique avec notre tableau produit aliment\u00e9 par l&#8217;IA pour lancer vos id\u00e9es sur le march\u00e9 plus rapidement.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/lean-ux-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tableau Lean UX | Outil strat\u00e9gique aliment\u00e9 par l&#8217;IA par VP<\/a>: 28 octobre 2025 \u2013 Cr\u00e9ez un cadre strat\u00e9gique complet en un instant. D\u00e9crivez simplement votre vision, et le g\u00e9n\u00e9rateur de canevas IA la transforme en un canevas structur\u00e9 et riche en insights, qui vous aide \u00e0 visualiser, planifier et affiner votre prochaine grande id\u00e9e.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/lean-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Canevas Lean \u2013 Visual Paradigm<\/a>: 28 octobre 2025 \u2013 Notre application est con\u00e7ue pour \u00eatre votre partenaire strat\u00e9gique, en fournissant des outils intelligents pour am\u00e9liorer chaque \u00e9tape de votre processus de planification pour le canevas du mod\u00e8le d&#8217;affaires. \u2026 Avez-vous une id\u00e9e de startup ? Entrez simplement \u00ab une application mobile pour la livraison de repas maison locaux \u00bb et laissez notre IA g\u00e9n\u00e9rer un canevas Lean complet, d\u00e9taillant le probl\u00e8me, la solution et les indicateurs cl\u00e9s.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Dans le paysage dynamique des affaires modernes, les m\u00e9thodes traditionnelles de planification se concentrent souvent fortement sur la r\u00e9duction des risques et la correction des faiblesses. Bien que valable, cette approche peut parfois \u00e9touffer l&#8217;innovation. Entrez le Analyse SOAR\u2014un cadre innovant con\u00e7u pour exploiter le potentiel d&#8217;une organisation. En se concentrant sur les Forces, les Opportunit\u00e9s, les Aspirations et les R\u00e9sultats, SOAR d\u00e9place la conversation de \u00ab ce qui ne va pas \u00bb vers \u00ab ce qui est possible \u00bb. Ce guide complet explore les m\u00e9canismes du cadre SOAR, fournit des directives concr\u00e8tes pour sa mise en \u0153uvre, et montre comment l&#8217;outil Business Canvas aliment\u00e9 par l&#8217;IA de Visual Paradigm peut r\u00e9volutionner vos sessions de planification strat\u00e9giquesessions. Concepts cl\u00e9s : comprendre le cadre SOAR Avant de passer \u00e0 l&#8217;ex\u00e9cution, il est essentiel de comprendre les quatre piliers qui constituent une analyse SOAR. Contrairement \u00e0 SWOT, qui \u00e9quilibre les facteurs positifs et n\u00e9gatifs, SOAR est un outil d&#8217;investigation appr\u00e9ciative qui se concentre presque exclusivement sur les attributs positifs et le potentiel futur. Forces (S) : Cela concerne ce que l&#8217;organisation fait bien maintenant. Il s&#8217;agit d&#8217;identifier les comp\u00e9tences fondamentales, les actifs uniques et les ressources qui conf\u00e8rent un avantage concurrentiel. Les questions \u00e0 poser incluent : Quels sont nos plus grands atouts ? Que nos clients aiment-ils chez nous ? Opportunit\u00e9s (O) : Ce sont des circonstances externes que l&#8217;organisation peut exploiter pour cro\u00eetre. Les opportunit\u00e9s dans SOAR sont souvent formul\u00e9es en examinant les tendances du march\u00e9, les lacunes dans l&#8217;industrie ou de nouvelles collaborations. Les questions \u00e0 poser incluent : Dans quels nouveaux march\u00e9s pouvons-nous entrer ? Quelles tendances s&#8217;alignent avec nos forces ? Aspirations (A) : Ce pilier repr\u00e9sente la vision de l&#8217;avenir. C&#8217;est l\u00e0 que l&#8217;organisation d\u00e9finit ce qu&#8217;elle souhaite devenir, ind\u00e9pendamment des contraintes actuelles. Il refl\u00e8te le d\u00e9sir collectif des parties prenantes. Les questions \u00e0 poser incluent : \u00c0 quoi ressemble notre avenir id\u00e9al ? Quelle est notre passion ? R\u00e9sultats (R) : Pour ancrer les aspirations dans la r\u00e9alit\u00e9, vous devez d\u00e9finir des r\u00e9sultats mesurables. Les r\u00e9sultats indiquent comment vous saurez que vous avez r\u00e9ussi \u00e0 atteindre vos aspirations. Les questions \u00e0 poser incluent : Comment mesurons-nous le succ\u00e8s ? Quels sont nos indicateurs cl\u00e9s de performance (KPI) ? SOAR vs. SWOT : une comparaison rapide Bien que les deux cadres soient essentiels \u00e0 la planification strat\u00e9gique, ils servent des objectifs psychologiques et tactiques diff\u00e9rents. Fonctionnalit\u00e9 Analyse SWOT Analyse SOAR Focus Analyse de l&#8217;\u00e9tat actuel (Bons et mauvais points) Possibilit\u00e9s pour l&#8217;avenir (Forces et vision) mentalit\u00e9 Att\u00e9nuation des risques et concurrence Innovation et collaboration Point de d\u00e9part Audit interne et externe Recherche ax\u00e9e sur les forces R\u00e9sultat D\u00e9fense strat\u00e9gique et am\u00e9lioration Croissance strat\u00e9gique et alignement VP AI : Automatisation de la strat\u00e9gie avec Visual Paradigm La planification strat\u00e9gique stagne souvent pendant la phase d&#8217;id\u00e9ation ou lorsqu&#8217;il s&#8217;agit de formater des id\u00e9es complexes en un document pr\u00e9sentable. L&#8217;outil AI-powered de Visual ParadigmOutil de tableau agit comme un multiplicateur de force pour les \u00e9quipes strat\u00e9giques, vous faisant passer d&#8217;une page blanche \u00e0 un plan complet en quelques secondes. G\u00e9n\u00e9ration de tableaux aliment\u00e9e par l&#8217;IA Le plus grand obstacle dans la planification strat\u00e9gique est le \u00ab d\u00e9marrage froid \u00bb. Avec VP AI, vous pouvez g\u00e9n\u00e9rer un tableau SOAR complet \u00e0 partir d&#8217;une seule requ\u00eate. Par exemple, en saisissant \u00ab Analyse SOAR pour une marque de mode durable \u00bb, l&#8217;IA remplit instantan\u00e9ment le tableau avec : Forces : Par exemple \u00ab v\u00e9rification de la cha\u00eene d&#8217;approvisionnement \u00e9thique \u00bb ou \u00ab forte fid\u00e9lit\u00e9 de la marque parmi les jeunes de la g\u00e9n\u00e9ration Z \u00bb. Opportunit\u00e9s : Identifier des tendances telles que \u00ab adoption de l&#8217;\u00e9conomie circulaire \u00bb ou \u00ab actifs num\u00e9riques de mode \u00bb. Aspirations : R\u00e9daction de d\u00e9clarations de vision telles que \u00ab Devenir la norme mondiale pour le commerce de d\u00e9tail sans d\u00e9chets. \u00bb R\u00e9sultats : Proposant des indicateurs tels que \u00ab r\u00e9duction de 20 % de l&#8217;empreinte carbone d&#8217;ici le quatri\u00e8me trimestre. \u00bb Id\u00e9ation assist\u00e9e par l&#8217;IA et analyses approfondies Au-del\u00e0 de la g\u00e9n\u00e9ration initiale, l&#8217;IA aide \u00e0 surmonter le blocage cr\u00e9atif pendant la phase de perfectionnement. Si votre \u00e9quipe peine \u00e0 formuler une opportunit\u00e9 pr\u00e9cise, l&#8217;IA peut analyser les signaux actuels du march\u00e9 et les transitions industrielles pour inspirer de nouvelles orientations. En outre, l&#8217;outil permet des analyses approfondies : vous pouvez passer d&#8217;une vue d&#8217;ensemble du tableau \u00e0 une vue centr\u00e9e sur une seule section (par exemple, les aspirations) pour ajouter des cat\u00e9gories, attacher des insights et structurer le r\u00e9cit sans distractions. Analyse strat\u00e9gique et rapports VP AI va au-del\u00e0 de la simple cr\u00e9ation de listes. Il \u00e9value la logique de votre canevas, en v\u00e9rifiant si vos opportunit\u00e9s soutiennent r\u00e9ellement vos aspirations. Une fois finalis\u00e9, l&#8217;outil facilite les exports professionnels. Vous pouvez transformer votre canevas visuel et vos insights g\u00e9n\u00e9r\u00e9s par l&#8217;IA en documents soign\u00e9s au format Word, Markdown ou PDF, pr\u00eats pour des pr\u00e9sentations aux parties prenantes. Guides : Mise en \u0153uvre \u00e9tape par \u00e9tape Pour mener \u00e0 bien une analyse SOAR r\u00e9ussie, suivez cette approche structur\u00e9e afin d&#8217;assurer une alignement et des r\u00e9sultats concrets. \u00c9tape 1 : Lancer l&#8217;investigation R\u00e9unissez un groupe diversifi\u00e9 de parties prenantes. Comme l&#8217;analyse SOAR repose sur les forces et les aspirations, elle b\u00e9n\u00e9ficie d&#8217;un m\u00e9lange de dirigeants, d&#8217;employ\u00e9s de premi\u00e8re ligne et m\u00eame de clients. Instaurez un ton positif en pr\u00e9sentant la session comme une exploration des potentiels plut\u00f4t qu&#8217;une critique des performances. \u00c9tape 2 : Identifier les forces (le \u00ab maintenant \u00bb) Commencez par cartographier ce qui existe aujourd&#8217;hui. Concentrez-vous sur les actifs tangibles (capital, technologie propri\u00e9taire) et les actifs intangibles (r\u00e9putation de marque, culture d&#8217;entreprise). Utilisez l&#8217;outil VP AI pour cat\u00e9goriser ces forces afin de voir quelles parties de l&#8217;entreprise sont les plus solides. \u00c9tape 3 : D\u00e9couvrir les opportunit\u00e9s (le \u00ab prochain \u00bb) Regardez vers l&#8217;ext\u00e9rieur. Analysez l&#8217;environnement externe pour trouver des correspondances avec vos forces internes. Cette \u00e9tape n\u00e9cessite pontifier le foss\u00e9 entre ce que vous ma\u00eetrisez et ce dont le march\u00e9 a besoin. Assurez-vous que ces opportunit\u00e9s sont r\u00e9alistes et r\u00e9alisables. \u00c9tape 4<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_title":"Guide d'analyse SOAR : Planification strat\u00e9gique avec des outils d'IA","_yoast_wpseo_metadesc":"Ma\u00eetrisez le cadre d'analyse SOAR gr\u00e2ce \u00e0 notre guide complet. 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