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données","appliedCssClassNames":"summit-page",":type":"snowflake-site/components/structure/page"},{"id":"breadcrumb-2494ab9d2c-item-7897a74619","link":{"valid":true,"url":"/fr/data-governance/policy/"},"active":true,"current":true,"title":"Politique","appliedCssClassNames":"summit-page",":type":"snowflake-site/components/structure/page"}],":type":"snowflake-site/components/breadcrumb"}},":itemsOrder":["breadcrumb"],":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container"},"isActiveTOC":false,":type":"snowflake-site/components/flexible-column-container","isBlogPage":false},"flexible_column_cont_1522565878":{"id":"flexible-column-container-985305c9d2","propertiesId":"hub-hero","type":"2-column-40-60","alignColumns":"center","containerMaxWidth":"extra-large","topPadding":"small","bottomPadding":"medium","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-0ab9acba94",":items":{"text_1667528767":{"id":"text-674ffbaf60","additionalClasses":"eyebrow-text","text":"\u003Cp style=\"padding-top: 8.0px;\"\u003EGuide pratique\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-02"},"title_v2":{"id":"title-v2-9d739ab6fa","additionalClasses":"hub-hero__headline","type":"heading1","lines":["Politique de gouvernance des données : guide pratique"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text":{"id":"text-efaee913d4","additionalClasses":"hub-hero__subheadline","text":"\u003Cp\u003ECe guide explique pourquoi une politique de gouvernance des données est indispensable, ce qu’elle doit contenir et comment des exigences connexes telles que la confidentialité, la souveraineté et l’IA responsable façonnent ses règles.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"container":{"additionalClasses":"hub-hero__authors","gridClassNames":"aem-Grid aem-Grid--12 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Snowflake"],":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/content-chip"},"content_chip_copy_548013705":{"id":"content-chip-9a9b1db18d","cta":{"id":"cta","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/blog/authors/tracy-kabuya/"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_EXTERNAL","text":"Lire la biographie",":type":"snowflake-site/components/button"},"image":{"id":"image","alt":"Tracy Kabuya","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--9ad7a3c0-e23e-4370-bc36-f59a5fe02eff/img-1817.jpg?quality=85&preferwebp=true","lazyEnabled":true,"width":"709","height":"709",":type":"snowflake-site/components/image"},"headline":{"id":"title","type":"heading5","lines":["Tracy Kabuya","Contributeur local, Snowflake"],":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/content-chip"}},":itemsOrder":["content_chip_copy","content_chip_copy_548013705"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container"}},":itemsOrder":["text_1667528767","title_v2","text","container"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container"},"flexible_column_content_container_2":{"additionalClasses":"hub-hero__video-column","layout":"SIMPLE","id":"container-2b27f39efb",":items":{"youtube":{"id":"embed-fe97fa84f3","youtubeVideoId":"W3PBpq9gyfE","layout":"responsive","youtubeAspectRatio":"56.25","youtubeAutoPlay":false,"youtubeLoop":false,"youtubeMute":false,"youtubePlaysInline":false,"youtubeRel":false,"embeddableResourceType":"core/wcm/components/embed/v1/embed/embeddable/youtube","type":"EMBEDDABLE",":type":"snowflake-site/components/youtube"}},":itemsOrder":["youtube"],":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container"},"isActiveTOC":false,":type":"snowflake-site/components/flexible-column-container","isBlogPage":false},"flexible_column_cont_205440979":{"id":"flexible-column-container-8ad5d0e70d","propertiesId":"hub-hero-related-topics","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"extra-small","bottomPadding":"medium","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"additionalClasses":"related-topics-outer-container","layout":"SIMPLE","id":"container-d82333f0a6",":items":{"text_894059747":{"id":"text-a2b03794da","additionalClasses":"seo-hub-hero__related-topic-label","text":"\u003Cp\u003ESujets liés aux politiques de gouvernance des données :\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text":{"id":"text-896cbd71b7","additionalClasses":"related-topics ","text":"\u003Cul\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/fr/data-governance/policy/data-ethics/\"\u003EÉthique des données\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/fr/data-governance/policy/audit/\"\u003EAudit de la gouvernance des données\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/data-governance/policy/templates/\"\u003EModèles de politiques de gouvernance des données\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/data-governance/policy/standards/\"\u003ENormes de gouvernance des données\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/data-governance/policy/privacy-vs-governance/\"\u003EGouvernance des données vs confidentialité des données\u003C/a\u003E\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small"}},":itemsOrder":["text_894059747","text"],":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container"},"isActiveTOC":false,":type":"snowflake-site/components/flexible-column-container","isBlogPage":false},"flexible_column_cont_549182334":{"id":"flexible-column-container-c3c3035e46","propertiesId":"hub-body","type":"2-column-60-40","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"medium","bottomPadding":"large","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"additionalClasses":"longform-content","layout":"SIMPLE","id":"hub-body-content",":items":{"text":{"id":"text-5663682045","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003EDéfinition d’une politique de gouvernance des données\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003EUne politique de gouvernance des données définit les normes, les responsabilités et les contrôles pour la gestion des données au sein d’une entreprise. Elle permet de s’assurer que les données sont traitées de manière cohérente, sécurisée et conforme aux exigences métiers et réglementaires.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text_policy-overview_0":{"id":"text-03e2a27dbe","text":"\u003Cp\u003EUn actif de données peut être disponible et paraître parfaitement adéquat, tout en présentant un risque majeur. Sans contexte, des questions stratégiques restent sans réponse : les données contiennent-elles des attributs réglementés ? Peuvent-elles faire l’objet de partages interrégionaux ? Leur usage a-t-il été approuvé pour alimenter des modèles ? Les règles de conservation ou les contrôles spécifiques à un domaine sont-ils toujours en vigueur ?\u003C/p\u003E\r\n\u003Cp\u003ELe problème s’accentue à mesure que les données transitent par un nombre croissant de systèmes, qu’elles sont mises à la disposition de plus d’utilisateurs via un accès en libre-service et qu’elles soutiennent de nouveaux types de tâches, chacune ayant des exigences de traitement différentes. Une politique de gouvernance établit des règles claires en matière d’usage, de propriété et de responsabilité des données, encadrant ainsi leur gestion tout au long de leur circulation dans l’environnement.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_what-is-a-data-governance-policy":{"id":"title-v2-8e57ecc74e","additionalClasses":"anchor-title anchor-title--what-is-a-data-governance-policy","type":"heading2","lines":["Qu’est-ce qu’une politique de gouvernance des données ?"],":type":"snowflake-site/components/title-v2"},"text_what-is-a-data-governance-policy_0":{"id":"text-ff7671e19f","text":"\u003Cp\u003EUne politique de gouvernance des données est un ensemble formel de règles qui définit la manière dont une organisation classifie, stocke, partage et utilise ses données, ainsi que la façon d’y accéder. Elle fournit aux équipes une norme documentée pour le traitement des données à travers les différentes entités opérationnelles, systèmes, juridictions et workflows, tout en expliquant comment ces règles sont appliquées au sein des plateformes où les données sont créées, gouvernées et analysées.\u003C/p\u003E\r\n\u003Cp\u003EUne politique de gouvernance des données diffère d’un \u003Ca href=\"https://snowflake.com/fr/data-governance/frameworks/\"\u003Eframework de gouvernance des données\u003C/a\u003E, lequel définit le modèle opérationnel, les rôles et les processus qui structurent cette gouvernance. La politique constitue l’un des ensembles de règles spécifiques au sein d’un framework. Elle se concentre sur les règles elles-mêmes : les autorisations, les restrictions, les approbations d’exceptions et la pérennisation de la conformité dans le temps.\u003C/p\u003E\r\n\u003Cp\u003EDans les environnements modernes, la politique doit être traçable de bout en bout, des décisions relatives aux risques jusqu’aux contrôles, à la propriété et aux preuves. C’est particulièrement vrai dès lors que les données gouvernées sont réutilisées pour l’analytique, le machine learning, l’IA générative et les opérations transversales.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003EPour en savoir plus sur les principes fondamentaux et les meilleures pratiques de gouvernance, consultez la page \u003Ca href=\"https://snowflake.com/fr/data-governance/\"\u003EQu’est-ce que la gouvernance des données\u003C/a\u003E ?\u003C/i\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_why-a-data-governance-policy-matters":{"id":"title-v2-97a4580145","additionalClasses":"anchor-title anchor-title--why-a-data-governance-policy-matters","type":"heading2","lines":["Pourquoi une politique de gouvernance des données est essentielle"],":type":"snowflake-site/components/title-v2"},"text_why-a-data-governance-policy-matters_0":{"id":"text-1dfef3c537","text":"\u003Cp\u003ELa plupart des organisations disposent déjà de règles concernant leurs données. Le problème est que ces règles sont souvent réparties entre les avis de confidentialité, les contrôles de sécurité, les calendriers de conservation, les workflows d’accès, les processus de revue juridique et les conventions propres à chaque équipe. À mesure que les données transitent par différentes plateformes, domaines d’activité et workflows basés sur l’IA, il devient plus difficile de savoir quelles règles s’appliquent, qui prend les décisions et si la même norme est appliquée de manière cohérente.\u003C/p\u003E\r\n\u003Cp\u003EUne politique de gouvernance des données aide les organisations à rester agiles, en permettant aux personnes de trouver, demander et utiliser les données selon des règles clairement comprises. Elle permet de renforcer la préparation à la conformité en définissant la manière dont l’organisation gère la classification, la confidentialité, la conservation et les preuves. De plus, comme la politique de gouvernance permet de définir les approbations, les restrictions et les exceptions d’une équipe, d’une plateforme ou d’un cas d’usage à l’autre, elle facilite le contrôle des accès et l’auditabilité.\u003C/p\u003E\r\n\u003Cp\u003EEn outre, les réglementations sur la confidentialité telles que le \u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://gdpr.eu/\"\u003ERGPD\u003C/a\u003E et la \u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://oag.ca.gov/privacy/ccpa\"\u003ECCPA\u003C/a\u003E exigent des organisations qu’elles définissent la manière dont les données personnelles sont collectées, consultées, conservées et partagées. La \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/ai-governance/\"\u003Egouvernance de l’IA\u003C/a\u003E ajoute un autre niveau d’exigences, car les équipes ont désormais besoin de règles explicites pour déterminer si les données gouvernées peuvent être utilisées pour l’entraînement de modèles, la \u003Ca href=\"https://www.snowflake.com/en/fundamentals/rag/\"\u003Egénération augmentée de récupération (RAG)\u003C/a\u003E, l’aide à la décision automatisée ou d’autres workflows basés sur les LLM.\u003C/p\u003E\r\n\u003Cp\u003ESans la structure d'une politique formelle, une équipe peut réutiliser des données réglementées d'une manière que le propriétaire initial n'a jamais approuvée. De plus, si différentes directions métiers appliquent des règles distinctes aux mêmes données, cela ralentit la prise de décision, augmente le risque de non-conformité et rend la gouvernance plus difficile à appliquer à l’échelle. Avec le temps, les organisations peuvent faire face à un risque accru d'exposition réglementaire, d'utilisation abusive des données, d'échecs d'audit et de prise de décision en silos.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_core-components-of-a-data-governance-policy":{"id":"title-v2-f3b4c2649c","additionalClasses":"anchor-title anchor-title--core-components-of-a-data-governance-policy","type":"heading2","lines":["Composants clés d’une politique de gouvernance des données"],":type":"snowflake-site/components/title-v2"},"text_core-components-of-a-data-governance-policy_0":{"id":"text-312b42d676","text":"\u003Cp\u003EUne politique de gouvernance des données doit couvrir plusieurs catégories de politiques et de règles, de la propriété et de la classification à l'accès, la conservation et l'audit.\u003C/p\u003E\r\n\u003Cp\u003ELes composants clés comprennent généralement :\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cb\u003EPortée et applicabilité :\u003C/b\u003E Définir les données, les systèmes, les directions métiers, les juridictions et les cas d’usage couverts par la politique.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003ERôles et responsabilités :\u003C/b\u003E Identifier les responsables de la politique, les personnes qui approuvent les exceptions, appliquent les contrôles et maintiennent la politique à mesure que les réglementations, les systèmes et les besoins de l’entreprise évoluent. Cela comprend généralement les data owners, les \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-stewardship/\"\u003Edata stewards\u003C/a\u003E, les data custodians, les parties prenantes juridiques et de conformité, les équipes de sécurité et un conseil de gouvernance.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003ENormes de classification des données :\u003C/b\u003E Définir la manière dont l’entreprise distingue les données publiques, internes, confidentielles, réglementées et autrement sensibles. Ces définitions servent de base à l’étiquetage, aux règles de traitement, aux décisions d’accès et aux contrôles en aval.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003ERègles d’accès et d’utilisation :\u003C/b\u003E Définir qui peut utiliser les données, à quelles fins, dans quelles conditions et avec quelles approbations. Cela inclut l'accès courant aux analyses, le partage transversal, l'accès par des tiers et les cas d'utilisation de l'IA tels que l'ancrage de modèles, l'enrichissement des prompts ou l'aide à la décision automatisée.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EConformité et alignement réglementaire :\u003C/b\u003E Expliquer comment la politique s’aligne sur des obligations telles que le RGPD, la CCPA, la \u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://www.cdc.gov/phlp/php/resources/health-insurance-portability-and-accountability-act-of-1996-hipaa.html\"\u003EHIPAA\u003C/a\u003E, la loi SOX et les exigences spécifiques à chaque secteur. Une politique n’a pas besoin de reformuler l’intégralité des réglementations, mais elle doit identifier les obligations qui s’appliquent, les contrôles qui les soutiennent et les personnes responsables des preuves de conformité.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003ERègles de conservation des données et de cycle de vie :\u003C/b\u003E Définir les durées de rétention des données, les déclencheurs d'archivage et de suppression, ainsi que les mécanismes de résolution des conflits lorsque les enregistrements sont soumis à des exigences métiers, juridiques ou réglementaires concurrentes.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EExigences d’application et d’audit :\u003C/b\u003E Définir les modalités de vérification de la conformité à la politique, incluant les contrôles techniques, la journalisation, la gestion des dérogations, les attestations, les cycles de révision et les preuves d’audit.\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_how-legal-privacy-and-usage-requirements-shape-governance-policy":{"id":"title-v2-7456604a35","additionalClasses":"anchor-title anchor-title--how-legal-privacy-and-usage-requirements-shape-governance-policy","type":"heading2","lines":["Comment les exigences juridiques, de confidentialité et d'usage dictent la politique de gouvernance"],":type":"snowflake-site/components/title-v2"},"text_303662111":{"id":"text-a5b4fe90e3","text":"\u003Cp\u003ELa politique de gouvernance traduit les obligations externes en règles opérationnelles en déclinant les lois, les \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance/policy/regulations/\"\u003Eréglementations\u003C/a\u003E et les engagements de l’entreprise en décisions claires concernant l’accès aux données, leur utilisation, leur durée de conservation et la démonstration de la conformité.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"quote_item_407477086":{"id":"quote-item-74b9b83343","alignment":"left","layout":"simple","showQuoteIcon":true,"quote":"La politique de gouvernance traduit les obligations externes en règles opérationnelles.","showHangingPunctuation":false,":type":"snowflake-site/components/quote-item"},"text_how-legal-privacy-and-usage-requirements-shape-governance-policy_0":{"id":"text-2512353ec3","text":"\u003Cp\u003EPlusieurs catégories d’exigences façonnent ces politiques, notamment :\u003C/p\u003E\r\n\u003Ch3\u003EConfidentialité et protection des données\u003C/h3\u003E\r\n\u003Cp\u003EDes réglementations telles que le Règlement général sur la protection des données (RGPD) établissent des exigences strictes sur la manière dont les données personnelles sont collectées, utilisées et protégées. Elles définissent des concepts tels que la base légale du traitement, les droits des personnes concernées (comme l’accès, la suppression et la rectification), la responsibilisation et la protection de la vie privée dès la conception (privacy by design).\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003EPour en savoir plus sur l’impact du RGPD sur la politique de gouvernance, consultez la page \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance/policy/gdpr/\"\u003EGouvernance des données et RGPD\u003C/a\u003E.\u003C/i\u003E\u003C/p\u003E\r\n\u003Cp\u003ELa politique de gouvernance aide les entreprises à aligner leurs processus et pratiques sur ces exigences juridiques, notamment la classification des données, les contrôles d’accès, la minimisation des données et l’auditabilité.\u003C/p\u003E\r\n\u003Ch3\u003EPartage et réutilisation des données\u003C/h3\u003E\r\n\u003Cp\u003ELe Règlement européen sur la gouvernance des données (\u003Ca rel=\"noopener noreferrer\" href=\"https://digital-strategy.ec.europa.eu/fr/policies/data-governance-act\" target=\"_blank\"\u003EDGA\u003C/a\u003E) complète le RGPD. Il vise à permettre un partage de données de confiance et introduit des cadres pour la réutilisation de certaines données protégées du secteur public. Il encadre également les intermédiaires de données et les services de partage de données au sein de l’UE.\u003C/p\u003E\r\n\u003Cp\u003ECes exigences façonnent la politique de gouvernance en obligeant les entreprises à définir des règles claires sur le moment et la manière dont les données peuvent être partagées, les conditions de leur réutilisation et le maintien de la confiance au-delà des frontières organisationnelles ou régionales.\u003C/p\u003E\r\n\u003Ch3\u003ESouveraineté et résidence des données\u003C/h3\u003E\r\n\u003Cp\u003ELa \u003Ca href=\"https://www.snowflake.com/en/fundamentals/what-is-data-sovereignty/\"\u003Esouveraineté des données\u003C/a\u003E signifie que les données sont soumises aux lois de la juridiction où elles sont collectées, tandis que la résidence des données fait référence à l’endroit où elles sont physiquement stockées. Ces deux concepts influencent directement la manière dont les entreprises conçoivent leurs environnements de données.\u003C/p\u003E\r\n\u003Cp\u003ELa politique de gouvernance doit tenir compte de ces contraintes, en particulier dans les analyses interrégionales, les partenariats et les cas d’usage de l’IA, en définissant où les données peuvent être transférées, qui peut y accéder et quelles lois s’appliquent à chaque étape.\u003C/p\u003E\r\n\u003Ch3\u003EÉthique des données et utilisation responsable de l’IA\u003C/h3\u003E\r\n\u003Cp\u003EL’\u003Ca href=\"https://snowflake.com/en/data-governance/policy/data-ethics/\"\u003Eéthique des données\u003C/a\u003E définit les règles d'usage des données lorsque le cadre juridique est lacunaire ou en mutation. Cela inclut des considérations telles que l’équité, l’atténuation des biais, la transparence et l’utilisation responsable de l’IA. Les politiques de gouvernance concrétisent souvent ces attentes, notamment lorsque les résultats basés sur les données influencent les décisions, l'expérience client ou les actions opérationnelles en aval.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003EPour en savoir plus sur la manière dont la politique de gouvernance soutient la conformité, consultez la page \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance/policy/compliance/\"\u003EGouvernance des données et conformité\u003C/a\u003E.\u003C/i\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_operational-policy-areas":{"id":"title-v2-a950acd7fb","additionalClasses":"anchor-title anchor-title--operational-policy-areas","type":"heading2","lines":["Domaines de politiques opérationnelles"],":type":"snowflake-site/components/title-v2"},"text_operational-policy-areas_0":{"id":"text-adca3b58ec","text":"\u003Cp\u003ELes décisions de gouvernance ne sont pas toutes dictées par la réglementation. Beaucoup sont opérationnelles : elles définissent la manière dont les données sont consultées, gérées et conservées au fil des workflows quotidiens. Ces politiques visent à promouvoir l’homogénéité, l’évolutivité et le contrôle au sein des équipes et des systèmes.\u003C/p\u003E\n\u003Ch3\u003EAccès aux données et contrôle d’accès\u003C/h3\u003E\n\u003Cp\u003ELes politiques d’accès définissent qui peut accéder à quelles données, dans quelles conditions et à quelles fins. Cela inclut les décisions relatives à la définition des rôles, aux workflows d’approbation et à l’usage approprié.\u003C/p\u003E\n\u003Cp\u003ELe contrôle d’accès est l’application technique de ces politiques par le biais de mécanismes tels que le contrôle d’accès basé sur les rôles (\u003Ca href=\"https://www.snowflake.com/en/fundamentals/rbac/\"\u003ERBAC\u003C/a\u003E), le contrôle d’accès basé sur les attributs (ABAC) et les principes du moindre privilège. Ensemble, ils permettent de garantir que les données ne sont accessibles qu’aux utilisateurs appropriés au bon moment.\u003C/p\u003E\n\u003Ch3\u003EConservation des données\u003C/h3\u003E\n\u003Cp\u003ELes politiques de conservation définissent la durée de conservation des données, le moment où elles doivent être archivées et celui où elles doivent être supprimées. Ces décisions impliquent souvent des compromis entre le coût, les performances, la conformité et la valeur analytique. Comme les mêmes données peuvent servir au reporting, aux opérations, aux audits et aux cas d’usage de l’IA, les règles de conservation doivent être explicites, appliquées de manière homogène et régulièrement révisées.\u003C/p\u003E\n\u003Ch3\u003ENormes de gouvernance\u003C/h3\u003E\n\u003Cp\u003ELes \u003Ca href=\"https://snowflake.com/en/data-governance/policy/standards/\"\u003Enormes de gouvernance\u003C/a\u003E fournissent la structure qui rend les politiques de gouvernance reproductibles et évolutives. Elles définissent les attentes en matière de conventions de nommage, de métadonnées, de classification des données, de rôles d’intendance des données, de seuils de qualité et de modèles de contrôle.\u003C/p\u003E\n\u003Cp\u003EEn s’appuyant sur ces standards, les entreprises évitent de réinventer des approches de gouvernance pour chaque domaine et garantissent une mise en œuvre homogène sur l’ensemble des plateformes et des équipes.\u003C/p\u003E\n\u003Cp\u003E\u003Ci\u003EConsultez la page \u003Ca href=\"https://docs.snowflake.com/fr/guides-overview-govern\"\u003ELa gouvernance des données dans Snowflake\u003C/a\u003E pour découvrir comment Snowflake met en œuvre les contrôles de gouvernance.\u003C/i\u003E\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_building-deploying-and-maintaining-your-policy":{"id":"title-v2-1684a89ef7","additionalClasses":"anchor-title anchor-title--building-deploying-and-maintaining-your-policy","type":"heading2","lines":["Élaborer, déployer et maintenir votre politique"],":type":"snowflake-site/components/title-v2"},"text_building-deploying-and-maintaining-your-policy_0":{"id":"text-a724d05cfd","text":"\u003Cp\u003EÀ mesure que l’utilisation des données, les risques et les exigences évoluent, les politiques de gouvernance des données doivent évoluer avec eux. Un cycle de vie en quatre étapes (évaluation, rédaction, déploiement et audit) offre une méthode pratique pour guider ce processus continu.\u003C/p\u003E\n\u003Ch3\u003EÉvaluer\u003C/h3\u003E\n\u003Cp\u003ELors de l’étape d’évaluation, les équipes identifient les domaines de données concernés, les obligations réglementaires, les profils de risque et les lacunes de contrôle actuelles. Cela nécessite la contribution des équipes juridiques, de conformité et de sécurité, ainsi que des data owners et des data stewards qui comprennent l’utilisation concrète des données. L’objectif est de définir le périmètre et de comprendre où une politique est nécessaire, où se situent les risques et quelles exigences doivent être traitées.\u003C/p\u003E\n\u003Ch3\u003ERédiger\u003C/h3\u003E\n\u003Cp\u003EL’étape de rédaction inclut la définition des règles, des rôles et des responsabilités, des attentes en matière d'accès, des exigences de rétention, des exceptions et des processus de révision. Les conseils de gouvernance ou organismes similaires examinent et approuvent souvent ces politiques, tandis que les modèles permettent de garantir l’homogénéité de leur structure d’un domaine à l’autre.\u003C/p\u003E\n\u003Cp\u003EDe nombreuses équipes trouvent les \u003Ca href=\"https://snowflake.com/en/data-governance/policy/templates/\"\u003Emodèles de gouvernance des données\u003C/a\u003E utiles pour démarrer et assurer un développement homogène des politiques entre les différents domaines. Ils fournissent une structure commune qui simplifie la révision et aide les politiques à rester alignées au fil de leur évolution.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text_1679185601":{"id":"text-8939dd53e5","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003EPIÈGE COURANT\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003ENe considérez pas une politique de gouvernance des données comme un document de conformité statique. Les politiques qui ne sont pas gérées selon une logique de cycle de vie deviennent rapidement obsolètes, sont appliquées de manière irrégulière et s’avèrent difficiles à suivre pour les équipes.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text_542037381":{"id":"text-59047a2f67","text":"\u003Ch3\u003EDéployer\u003C/h3\u003E\r\n\u003Cp\u003ELors de l’étape de déploiement, les politiques sont mises en œuvre via des workflows et des contrôles techniques. Cela comprend la configuration des contrôles d’accès, l’application de la classification des données, la définition de politiques de masquage ou d’accès au niveau des lignes, ainsi que l’intégration de la gouvernance dans les pipelines de données et les workflows des utilisateurs.\u003C/p\u003E\r\n\u003Cp\u003ELes plateformes modernes rendent les politiques applicables. Par exemple, Snowflake propose des politiques de masquage, des politiques d'accès aux lignes, des balises d’objet, la classification des données sensibles et l'historique des accès comme mécanismes de protection et d’audit des données gouvernées. \u003Ca href=\"https://www.snowflake.com/en/product/features/horizon/\"\u003EHorizon Catalog\u003C/a\u003E étend ces contrôles à un patrimoine de données plus large grâce à des métadonnées partagées et à l’application uniforme des politiques.\u003C/p\u003E\r\n\u003Ch3\u003EAuditer\u003C/h3\u003E\r\n\u003Cp\u003ELors de l’étape d’audit, les entreprises vérifient si les politiques sont respectées et si les contrôles fonctionnent comme prévu. Un \u003Ca href=\"https://snowflake.com/en/data-governance/policy/audit/\"\u003Eprogramme d’audit\u003C/a\u003E comprend la surveillance des profils d’accès, l’examen des exceptions et la validation de la conformité avec les règles définies. Les résultats de l’audit déclenchent des mesures correctives et des mises à jour, créant ainsi un cycle d’amélioration continue qui permet d’aligner la gouvernance sur l’évolution de l’utilisation des données, des risques et des exigences réglementaires.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_the-practical-value-of-a-data-governance-policy":{"id":"title-v2-70caac945e","additionalClasses":"anchor-title anchor-title--the-practical-value-of-a-data-governance-policy","type":"heading2","lines":["La valeur pratique d’une politique de gouvernance des données"],":type":"snowflake-site/components/title-v2"},"text_the-practical-value-of-a-data-governance-policy_0":{"id":"text-413f48ab1d","text":"\u003Cp\u003ERevenons au scénario présenté au début de ce guide : un actif de données est disponible, il semble pertinent, et quelqu’un doit décider s’il peut l’utiliser en toute sécurité.\u003C/p\u003E\n\u003Cp\u003ESans politique de gouvernance claire, l’utilisateur doit identifier les bonnes parties prenantes et reconstituer les décisions clés : retrouver la classification d’origine, confirmer si les règles de conservation ont changé, déterminer si le transfert interrégional est autorisé et évaluer si l’usage prévu a déjà été approuvé. Les réponses sont souvent lentes ou incomplètes, et les décisions finissent par être prises sur la base d'hypothèses.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"quote_item":{"id":"quote-item-3532b39cdf","alignment":"left","layout":"simple","showQuoteIcon":true,"quote":"Sans politique de gouvernance claire, l’utilisateur doit identifier les bonnes parties prenantes et reconstituer les décisions clés","showHangingPunctuation":false,":type":"snowflake-site/components/quote-item"},"text_1943728336":{"id":"text-ca276b0b8e","text":"\u003Cp\u003EAvec une politique de gouvernance fonctionnelle, l’utilisateur dispose d’un processus simple à suivre. La classification est documentée, la propriété est définie et les cas d’usage approuvés sont explicites. L’utilisateur dispose ainsi de toutes les informations nécessaires, ou sait exactement où les trouver.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text_762674868":{"id":"text-79546ef907","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003EÀ RETENIR\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003EUne politique de gouvernance des données traduit les principes de gouvernance en règles pratiques et applicables concernant la classification, l’accès, le partage, la conservation et l’utilisation des données au sein de l’entreprise. En associant les exigences juridiques, opérationnelles et liées à l’IA à des contrôles homogènes et à une responsabilisation claire, elle aide les équipes à utiliser les données en toute confiance, tout en réduisant les risques de non-conformité, en améliorant l’auditabilité et en soutenant la gouvernance à l’échelle.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"}},":itemsOrder":["text","text_policy-overview_0","title_what-is-a-data-governance-policy","text_what-is-a-data-governance-policy_0","title_why-a-data-governance-policy-matters","text_why-a-data-governance-policy-matters_0","title_core-components-of-a-data-governance-policy","text_core-components-of-a-data-governance-policy_0","title_how-legal-privacy-and-usage-requirements-shape-governance-policy","text_303662111","quote_item_407477086","text_how-legal-privacy-and-usage-requirements-shape-governance-policy_0","title_operational-policy-areas","text_operational-policy-areas_0","title_building-deploying-and-maintaining-your-policy","text_building-deploying-and-maintaining-your-policy_0","text_1679185601","text_542037381","title_the-practical-value-of-a-data-governance-policy","text_the-practical-value-of-a-data-governance-policy_0","quote_item","text_1943728336","text_762674868"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container"},"flexible_column_content_container_2":{"additionalClasses":"hub-sidebar","layout":"SIMPLE","id":"hub-body-aside",":items":{"container":{"additionalClasses":"sticky-sidebar","gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text_943981956_copy_":"aem-GridColumn aem-GridColumn--default--12","text_copy":"aem-GridColumn aem-GridColumn--default--12"},"id":"container-a9affa551b",":items":{"text_943981956_copy_":{"id":"text-c9aa13cf5f","additionalClasses":"eyebrow-text","text":"\u003Cp\u003EDans ce guide\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular"},"text_copy":{"id":"text-cf32e8aef3","additionalClasses":"page-toc","text":"\u003Cul\u003E\n\u003Cli data-anchor=\"what-is-a-data-governance-policy\"\u003EQu’est-ce qu’une politique de gouvernance des données ?\u003C/li\u003E\n\u003Cli data-anchor=\"why-a-data-governance-policy-matters\"\u003EPourquoi une politique de gouvernance des données est essentielle\u003C/li\u003E\n\u003Cli data-anchor=\"core-components-of-a-data-governance-policy\"\u003EComposants clés d’une politique de gouvernance des données\u003C/li\u003E\n\u003Cli data-anchor=\"how-legal-privacy-and-usage-requirements-shape-governance-policy\"\u003EComment les exigences juridiques, de confidentialité et d'usage dictent la politique de gouvernance\u003C/li\u003E\n\u003Cli data-anchor=\"operational-policy-areas\"\u003EDomaines de politiques opérationnelles\u003C/li\u003E\n\u003Cli data-anchor=\"building-deploying-and-maintaining-your-policy\"\u003EÉlaborer, déployer et maintenir votre politique\u003C/li\u003E\n\u003Cli data-anchor=\"the-practical-value-of-a-data-governance-policy\"\u003ELa valeur pratique d’une politique de gouvernance des données\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-05"}},":itemsOrder":["text_943981956_copy_","text_copy"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":type":"snowflake-site/components/container"}},":itemsOrder":["container"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container"},"isActiveTOC":false,":type":"snowflake-site/components/flexible-column-container","isBlogPage":false},"flexible_column_cont_132267907":{"id":"flexible-column-container-67537966a1","propertiesId":"hub-faq","type":"2-column-40-60","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"extra-large","bottomPadding":"large","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"hub-faq-intro",":items":{"title_v2_copy":{"id":"title-v2-f11457f36b","additionalClasses":"hub-faq__headline","type":"heading2","lines":["Foire 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