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Governance\u003C/li\u003E\r\n\u003Cli data-anchor=\"decision-making\"\u003EData Governance for Data-Driven Decision-Making\u003C/li\u003E\r\n\u003Cli data-anchor=\"data-pipeline\"\u003EData Governance in the Context of Data Pipelines\u003C/li\u003E\r\n\u003Cli data-anchor=\"compliance\"\u003EData Governance for Compliance and Regulatory Requirements\u003C/li\u003E\r\n\u003Cli data-anchor=\"cloud\"\u003EData Governance in the Cloud\u003C/li\u003E\r\n\u003Cli data-anchor=\"benefits\"\u003EMeasuring the Benefits of Data Governance\u003C/li\u003E\r\n\u003Cli data-anchor=\"implement\"\u003EImplementing Data Governance in Your Organization\u003C/li\u003E\r\n\u003Cli data-anchor=\"conclusion\"\u003EConclusion\u003C/li\u003E\r\n\u003Cli data-anchor=\"resources\"\u003EResources\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular 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aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"overview",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-786e233a25","type":"heading2","lines":["Overview"],":type":"snowflake-site/components/title-v2"},"text":{"id":"text-f2a6b2e267","text":"\u003Cp\u003EData governance use cases are essential for organizations to understand the practical applications and benefits of implementing a data governance framework. By examining real-world examples, you can gain insights into how \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance/\"\u003Edata governance\u003C/a\u003E can drive business value, improve data quality and reduce risk. \u003C/p\u003E\r\n\u003Cp\u003EData governance use cases span various industries and functions, from data-driven decision-making and regulatory compliance to \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-security/\"\u003Edata security\u003C/a\u003E and supply chain optimization. As you explore these use cases, you will discover how effective data governance enables organizations to unlock the full potential of their data assets, drive innovation and stay competitive in a rapidly changing market. \u003C/p\u003E\r\n\u003Cp\u003EBy learning from these data governance use cases, you can identify opportunities to apply data governance principles and practices in your own organization, driving tangible business outcomes and ROI. Effective data governance is not a one-size-fits-all solution — it is a tailored approach that requires a deep understanding of your organization's unique needs and goals.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"container_copy_copy__351129430":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"title_v2_copy":"aem-GridColumn aem-GridColumn--default--12","text_copy_1475342575_981197732":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"action",":type":"snowflake-site/components/container",":items":{"title_v2_copy":{"id":"title-v2-c0ca16147d","type":"heading2","lines":["Data governance in action: Industry-specific use cases"],":type":"snowflake-site/components/title-v2"},"text_copy_1475342575_981197732":{"id":"text-31bc7d8627","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EOrganizations across a number of different industries apply data governance to solve real, high-stakes business challenges. Effective governance helps organizations improve data quality, consistency and accountability so data can be treated as a trusted asset. These industry-specific examples represent some of the most common data governance use cases organizations prioritize when building a governance framework:\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cb\u003EFinancial services\u003C/b\u003E: Banks and fintech companies rely on data governance to maintain customer records, support fraud detection and meet regulatory reporting requirements.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EHealthcare\u003C/b\u003E: Health organizations apply data governance to patient records and clinical data to reduce errors, support care coordination and help ensure compliance with regulations governing protected health information (PHI).\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003ERetail\u003C/b\u003E: Retailers use governance to ensure consistent product data and to offer personalized experiences that rely on unified customer data.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EInsurance\u003C/b\u003E: Carriers depend on governed reference data, such as risk classifications and underwriting codes, to accelerate product launches and enable analytics.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EManufacturing\u003C/b\u003E: Organizations employ data governance to standardize supplier data, enable accurate demand forecasting and optimize supply chains.\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Ch3\u003E \u003C/h3\u003E\r\n\u003Ch3\u003EWhat’s the best example of data governance?\u003C/h3\u003E\r\n\u003Cp\u003EOne of the best examples of data governance is for financial services organizations implementing strict data classification, role-based access controls (RBAC), and audit tracking to meet regulatory reporting requirements.\u003C/p\u003E\r\n\u003Cp\u003EIn this use case, the fintech company would:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003EClassify sensitive data such as PII and financial records\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EAssign clear data ownership and stewardship roles\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EEnforce row-level and column-level security controls\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EMonitor data lineage to ensure accurate regulatory reporting\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EThis type of governance framework can reduce compliance risk, improves data accuracy, and help executives trust the metrics used for decision-making.\u003C/p\u003E\r\n\u003Cp\u003EOther strong data governance examples include healthcare providers protecting patient data under HIPAA, retailers standardizing customer data for personalization, and manufacturers governing supplier data to improve supply chain forecasting.\u003Cbr\u003E\r\n\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2_copy","text_copy_1475342575_981197732"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"container_copy_copy_":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"youtube":"aem-GridColumn aem-GridColumn--default--12","text_copy_copy_29527":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12","text_copy_1475342575":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"data-security",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-fe10a98759","type":"heading2","lines":["Enhancing data security with data governance"],":type":"snowflake-site/components/title-v2"},"text_copy_1475342575":{"id":"text-5763e6269e","text":"\u003Cp\u003EOne of the most important data governance use cases is strengthening an organization’s data security. Without effective data governance in place, sensitive information can become a liability. Your organization needs clear policies around how data is classified, how it flows through your systems and who can access it.\u003C/p\u003E\r\n\u003Cp\u003EData governance defines classification standards, access controls and data ownership, enabling a strong security foundation. Organizations can use \u003Ca href=\"https://www.snowflake.com/en/fundamentals/rbac/\"\u003Erole-based access controls\u003C/a\u003E (RBAC) to ensure employees and systems only access the data they need.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance-framework/\"\u003EData governance frameworks\u003C/a\u003E define encryption standards and audit requirements, ensuring technical controls enforce security policies. Governance programs allow organizations to apply security policies at scale by tagging data assets according to their sensitivity — from public content to personally identifiable information (PII).\u003C/p\u003E\r\n\u003Cp\u003ETo learn more, visit Snowflake’s \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-security\"\u003Edata security resource page\u003C/a\u003E.\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Ch3\u003EData Governance Best Practices from Disney\u003C/h3\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"youtube":{"id":"embed-b4e44e57aa","youtubeVideoId":"anLzEJ0-xbc","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"},"text_copy_copy_29527":{"id":"text-a1b0f51008","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EIn this podcast interview, Anita Lynch, VP of Data Governance at Disney Streaming, highlights \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance/best-practices/\"\u003Ebest practices \u003C/a\u003Ein data goverance: \u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003ETreat data governance as a standalone function.\u003C/li\u003E\r\n\u003Cli\u003EFocus on the four pillars: data quality, privacy, security and sharing.\u003C/li\u003E\r\n\u003Cli\u003ECentralize data in the cloud for a single source of truth.\u003C/li\u003E\r\n\u003Cli\u003EUse tools such as data \u003Ca href=\"https://www.snowflake.com/en/fundamentals/what-is-a-data-clean-room/\"\u003Eclean rooms\u003C/a\u003E.\u003C/li\u003E\r\n\u003Cli\u003EBuild trust by balancing personalization with clear consumer choice and control.\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-extra-small"}},":itemsOrder":["title_v2","text_copy_1475342575","youtube","text_copy_copy_29527"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"container_copy_43816":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"youtube":"aem-GridColumn aem-GridColumn--default--12","title_v2_copy_copy_c_1270131726":"aem-GridColumn aem-GridColumn--default--12","text_copy_copy_29527_1354236156":"aem-GridColumn aem-GridColumn--default--12","text_copy_1475342575_1177646310":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"decision-making",":type":"snowflake-site/components/container",":items":{"title_v2_copy_copy_c_1270131726":{"id":"title-v2-7c238c9a59","type":"heading2","lines":["Data governance for data-driven decision-making"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"},"text_copy_1475342575_1177646310":{"id":"text-222ef69edf","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EProper data governance enables organizations to make faster, more confident decisions because teams can trust the data they are working with. With inconsistent or poorly documented data, analysts can waste a lot of time validating sources when they could be generating insights. Data governance addresses this by helping ensure people have the right quality data available to them at the right time, with full visibility into \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-lineage-provenance/\"\u003Edata lineage\u003C/a\u003E.\u003C/p\u003E\r\n\u003Cp\u003EAmong the most impactful data governance use cases, improving decision-making stands out as a top priority for analytics-driven organizations. Two elements are especially important here:\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EData quality\u003C/b\u003E: Data governance establishes standards for data accuracy, completeness and consistency. This puts processes in place to monitor and fix issues before they impact dashboards.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EData lineage\u003C/b\u003E: Data lineage provides a map of where data originated, how it was transformed, and which reports or models depend on it. This makes it easier to assess any given metric’s trustworthiness. \u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Ch3\u003EBehind the Cape: Data Governance in Snowflake\u003C/h3\u003E\r\n\u003Cul\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"youtube":{"id":"embed-9ca4e22c2c","youtubeVideoId":"V7KAU3ndi00","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"},"text_copy_copy_29527_1354236156":{"id":"text-688878aa91","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EIn this interview, Snowflake Data Superhero Julie Heckman highlights Snowflake’s built-in data governance capabilities, including row access policies, column masking policies and automatic data classification. Listen to the full discussion, in which Julie discusses key best practices, such as:\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EUsing role-based access with inheritance for flexibility\u003C/li\u003E\r\n\u003Cli\u003ECombining row and column controls for strong protection\u003C/li\u003E\r\n\u003Cli\u003ELeveraging zero-copy cloning to use production data safely in development\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-extra-small"}},":itemsOrder":["title_v2_copy_copy_c_1270131726","text_copy_1475342575_1177646310","youtube","text_copy_copy_29527_1354236156"],"appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small snowflake-responsive-container-inner-padding-extra-small"},"container_copy_438167016":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","container_1542917417":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12","text_copy_1475342575":"aem-GridColumn aem-GridColumn--default--12","container_598905681":"aem-GridColumn aem-GridColumn--default--12","container_959975595":"aem-GridColumn aem-GridColumn--default--12","container_486693355":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"data-pipeline",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-9b3756401e","type":"heading2","lines":["Data governance in the context of data pipelines"],":type":"snowflake-site/components/title-v2"},"text_copy_1475342575":{"id":"text-99c23d353e","text":"\u003Cp\u003E\u003Cu\u003E\u003C/u\u003EModern organizations use \u003Ca href=\"https://www.snowflake.com/en/fundamentals/modernizing-data-pipelines/\"\u003Edata pipelines\u003C/a\u003E to move, transform and deliver data at scale and often in near real time — but pipelines carrying poorly governed data are just rapidly moving problems along. Governance within pipelines represents one of the more technical data governance use cases, ensuring quality, consistency and compliance from ingestion through transformation.\u003C/p\u003E\r\n\u003Cp\u003EData governance in the context of data pipelines typically involves defining validation standards at ingestion, enforcing schema standards, tagging data with classification and ownership metadata, and monitoring it for anomalies. In streaming environments, governance controls must be automated so they can keep up with data ingestion velocity without creating bottlenecks. Managing batch and streaming pipelines under one set of governance rules, rather than separately, helps keep data quality and access consistent from start to finish.\u003Cbr\u003E\r\n\u003Cbr\u003E\r\nFor more information, read \u003Ca href=\"https://www.snowflake.com/en/blog/modern-data-streaming-pipeline-architectures-industry-use-cases/\"\u003EModern Data Streaming Pipeline Architectures (Use Cases)\u003C/a\u003E.\u003Cbr\u003E\r\n\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"},"container_1542917417":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text_copy":"aem-GridColumn aem-GridColumn--default--12","title_v2_copy_copy_c":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"compliance",":type":"snowflake-site/components/container",":items":{"title_v2_copy_copy_c":{"id":"title-v2-cad4d4b61c","type":"heading2","lines":["Data governance for compliance and regulatory requirements"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"},"text_copy":{"id":"text-2eecc1e6ec","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003ERegulatory alignment is one of the most visible data governance use cases, especially in highly regulated industries. For organizations in regulated industries or processing personal or sensitive data subject to regional regulations, compliance is not optional. Regulations such as GDPR, CCPA and HIPAA require organizations to maintain visibility into what data they collect, how it is processed, who can access it, how it is protected and how long it is retained.\u003C/p\u003E\r\n\u003Cp\u003EThree key data governance practices help organizations meet these requirements:\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EData classification\u003C/b\u003E: Identify and label sensitive data so the appropriate protections are applied.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-masking/\"\u003E\u003Cb\u003EData masking\u003C/b\u003E\u003C/a\u003E: Obscure or transform sensitive values — through techniques such as redaction, tokenization or substitution — so teams can safely use data in testing or development environments.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EData anonymization\u003C/b\u003E: Irreversibly transform data so individuals can no longer be identified. This can reduce regulatory risk when sharing data externally with third parties or for uses beyond original collection purpose.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EEmbedding governance into how data is collected, stored and used helps compliance become routine rather than a reactive exercise. Organizations can quickly answer an auditor’s questions: Where did this data come from? Who approved its use? What policy governs its access?\u003C/p\u003E\r\n\u003Cp\u003ELearn more at Snowflake’s \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-security-compliance/\"\u003Edata security compliance page\u003C/a\u003E.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2_copy_copy_c","text_copy"],"appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small snowflake-responsive-container-inner-padding-small"},"container":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"youtube":"aem-GridColumn aem-GridColumn--default--12","text_copy":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12","title_v2_copy_copy_c":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"cloud",":type":"snowflake-site/components/container",":items":{"title_v2_copy_copy_c":{"id":"title-v2-daa2f75c2d","type":"heading2","lines":["Data governance in the cloud"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"},"text_copy":{"id":"text-fef555ea0a","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EWhile cloud environments provide scalability, flexibility and global reach, they can also create unique governance challenges as data quickly proliferates across storage, compute environments and even third-party integrations. As organizations migrate infrastructure, new data governance use cases emerge around cross-cloud visibility, centralized policy enforcement and secure collaboration.\u003C/p\u003E\r\n\u003Cp\u003EEffective cloud governance calls for a unified approach across the entire data ecosystem, applying consistent access controls, quality standards and classification policies no matter where the data resides. To achieve this, silos between cloud storage, compute environments and third-party integrations need to be broken down.\u003C/p\u003E\r\n\u003Cp\u003EA single, centralized platform that connects data across clouds and regions can help organizations enforce governance more effectively than managing policies across a patchwork of disconnected tools and systems. When built on the right foundation, cloud-native governance also enables secure \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-sharing-and-integration/\"\u003Edata sharing\u003C/a\u003E and collaboration across organizational boundaries. Learn more at Snowflake’s \u003Ca href=\"https://www.snowflake.com/en/why-snowflake/what-is-data-cloud/\"\u003EAI Data Cloud page\u003C/a\u003E.\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Ch3\u003EQuenching the Thirst for Data: Swire Coca-Cola’s Data Discovery and Governance Journey\u003C/h3\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"youtube":{"id":"embed-32a0d986ca","youtubeVideoId":"KaibztxlnOs","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"},"text":{"id":"text-6ce76ebcde","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003E\u003Cu\u003E\u003C/u\u003EListen to leaders from Swire Coca-Cola USA describe ways in which the company has transformed data governance, including:\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003EAdopting a product mindset for data\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EStandardizing core metrics such as OTIF (“on time, in full”)\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EDefining clear ownership and shared definitions\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EEmbedding governance directly into operational workflows\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003ELeveraging Snowflake to centralize, scale and securely share trusted data\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-extra-small"}},":itemsOrder":["title_v2_copy_copy_c","text_copy","youtube","text"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},"container_598905681":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text_copy_copy":"aem-GridColumn aem-GridColumn--default--12","title_v2_copy_copy_c":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"benefits",":type":"snowflake-site/components/container",":items":{"title_v2_copy_copy_c":{"id":"title-v2-8c99d4a530","type":"heading2","lines":["Measuring the benefits of data governance"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"},"text_copy_copy":{"id":"text-1e54db9db3","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EA well-implemented data governance program delivers a number of benefits to an organization: \u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EImproved data quality\u003C/b\u003E: Governance standards, ownership models and validation controls help reduce errors and duplication, allowing teams to waste less time fixing data and more time extracting value from it. \u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EBetter regulatory compliance\u003C/b\u003E: Clear policies, visibility and access controls make it easier to align with regulatory requirements such as GDPR or HIPAA, helping reduce regulatory risk.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EImproved decision-making\u003C/b\u003E: Accurate, consistent and trusted data enables business leaders to make informed decisions and respond to new opportunities.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EIncreased operational efficiency\u003C/b\u003E: Defined roles, shared standards and automated workflows help reduce data silos, improving agility and speeding up execution.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EReduced risk\u003C/b\u003E: Access controls, data encryption and auditing help reduce the risk of security breaches and data misuse, fostering trust.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E\u003Cbr\u003E\r\nFor a full overview of governance benefits, visit Snowflake’s \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance/\"\u003Edata governance page\u003C/a\u003E.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2_copy_copy_c","text_copy_copy"],"appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small snowflake-responsive-container-inner-padding-small"},"container_959975595":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text_copy_copy":"aem-GridColumn aem-GridColumn--default--12","title_v2_copy_copy_c":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"implement",":type":"snowflake-site/components/container",":items":{"title_v2_copy_copy_c":{"id":"title-v2-9609fe6205","type":"heading2","lines":["Implementing data governance in your organization"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"},"text_copy_copy":{"id":"text-a527828061","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EBuilding and \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance/implimentation/\"\u003Eimplementing\u003C/a\u003E a successful data governance program requires the following:\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EClearly defined roles\u003C/b\u003E: Your governance framework should define data ownership (who is accountable for each domain) and \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-stewardship/\"\u003Edata stewardship\u003C/a\u003E (who monitors quality day-to-day), and may include governance councils that set policy and resolve disputes.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ESolid governance strategy\u003C/b\u003E: Your \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance-strategy/\"\u003Edata governance strategy\u003C/a\u003E should be grounded in business outcomes. Identify data governance use cases that would have the highest impact, giving you early wins to demonstrate value to the rest of the organization.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EChange management\u003C/b\u003E: Governance is most effective when the people who create, manage and use data understand their role in it. 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