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Snowflake&body=${pageURL}`;\r\nwindow.open(shareURL);\r\n}\r\n\r\n\r\n\r\n\r\n\r\n});",":type":"snowflake-site/components/markup-editor","isGSAPEnabled":false}},":itemsOrder":["markup_editor"]}},":itemsOrder":["container_949147658"]},"cq:LiveSyncConfig":{"cq:isDeep":true,"cq:rolloutConfigs":[],"cq:master":"/content/experience-fragments/snowflake-site/language-masters/ja/site/share-icons/share-icons",":type":"cq:LiveCopy"}},":itemsOrder":["root","cq:LiveSyncConfig"],"appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"}},":itemsOrder":["text","experiencefragment"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-1626c72b5b",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-large",":items":{"container":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn 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target=\"_self\"\u003Eデータガバナンス\u003C/a\u003Eポリシーとその効果的な実装との間の橋渡し役として、データアセットのアクセス性、信頼性、セキュリティを確保します。データ品質の管理に明確で構造化されたアプローチを採用することで、生データを戦略的資産へと変換できるようになり、業務効率の向上、意思決定の迅速化、規制コンプライアンスの向上につながります。\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text"]},"container_copy":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn 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aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"what-is-the-role-of-a-data-steward",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-cc5290541b","additionalClasses":"","type":"heading2","lines":["データスチュワードの役割"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"},"text_copy":{"id":"text-2733c50dfb","additionalClasses":"","text":"\u003Cp\u003Eデータスチュワードは、組織のデータを守る責任者として、貴重なデータアセットを管理および保護する責任を負います。技術的な専門知識とビジネス上の洞察力の両方が求められる役職です。\u003C/p\u003E\u003Cp\u003Eデータスチュワードの主な責任には、データ品質基準の定義と維持、一貫したデータ定義の確立、組織全体での正しいデータ利用の確保などがあります。また、メタデータとリファレンスデータ（データに関するデータ）を管理し、データリネージ、データ変換、組織内でのデータフローを文書化します。\u003C/p\u003E\u003Cp\u003E多くのデータスチュワードは、実際のデータを監督するだけでなく、組織内でデータチャンピオンの役割も担い、データガバナンスの原則や適切なデータ処理について同僚にトレーニングや指導を行っています。\u003C/p\u003E\u003Cp\u003Eデータスチュワードは、データ品質、可用性、プライバシー保護を高度に維持することで、規制および評判リスクを最小限に抑えながら、組織のデータアセットを戦略的に活用できるようにします。\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text":{"id":"text-adcc2836f2","text":"","richText":true,":type":"snowflake-site/components/text"}},":itemsOrder":["title_v2","text_copy","text"]},"container_copy_copy__1356152446":{"gridClassNames":"aem-Grid 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aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"why-is-data-stewardship-important",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-9ef1de4b45","additionalClasses":"","type":"heading2","lines":["データスチュワードシップが重要である理由"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"},"text_copy":{"id":"text-40a14db8c2","additionalClasses":"","text":"\u003Cp\u003Eデータスチュワードシップは、ビジネス上の意思決定やAIイニシアチブにおいて正確なデータへの依存度が高まるにつれて、組織に戦略的価値をもたらします。データスチュワードの仕事は、データの品質、精度、信頼性を大幅に改善し、組織のエラー削減と業務効率の向上に役立ちます。\u003C/p\u003E\u003Cp\u003Eデータスチュワードは、セキュリティ分類の実装、アクセス制御の管理、データ処理方法の文書化を通じて、絶えず進化するデータプライバシー規制への準拠を組織が実現できるよう支援します。\u003C/p\u003E\u003Cp\u003Eデータスチュワードシップは、技術チームと非技術系のステークホルダーとの間のコミュニケーションを促進するため、組織内のデータ文化にも有益な効果をもたらします。これにより、組織のサイロが解消され、各チームがデータアセットを適切に使用できるようになります。\u003C/p\u003E\u003Cp\u003E責任あるAIイニシアチブは大量の高品質データを必要としますが、データスチュワードシップはその基盤を提供します。データスチュワードは、AIの効果的な運用、規制への準拠、倫理基準との整合性の確保において重要な役割を果たします。\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text":{"id":"text-980fcc108a","text":"","richText":true,":type":"snowflake-site/components/text"}},":itemsOrder":["title_v2","text_copy","text"]},"container_copy_copy__10095368":{"gridClassNames":"aem-Grid 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aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"what-is-the-difference-between-data-governance-and-stewardship",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-52898a4314","additionalClasses":"","type":"heading2","lines":["データガバナンスとデータスチュワードシップの違い"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"},"text_copy":{"id":"text-d92af2f6af","additionalClasses":"","text":"\u003Cp\u003Eデータガバナンスとデータスチュワードシップは同じものではありませんが、密接な関連があり、互いに補完し合っています。\u003C/p\u003E\u003Cp\u003Eデータガバナンスは、組織におけるデータ管理を導くポリシー、標準、手順の策定に焦点を置いています。データオーナーシップ、セキュリティ、プライバシー、許容される利用方法などの問題に関する監督と正式なルールの確立に関与する高レベルの機能です。データガバナンスポリシーと意思決定は通常、役員レベルで行われます。\u003C/p\u003E\u003Cp\u003Eデータスチュワードシップとは、組織のガバナンスフレームワークを実践的かつ実務的に実行することです。データスチュワードは、ルールの実施、コンプライアンスのモニタリング、データ品質の問題の解決を通じて、ガバナンスフレームワークの原則が遵守されていることを確保します。\u003C/p\u003E\u003Cp\u003Eどちらも効果的なデータ管理に不可欠であり、データガバナンスはロードマップを示し、データスチュワードシップは組織がそれに従うようにします。\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text_copy"]},"container_copy_copy__1099099171":{"gridClassNames":"aem-Grid 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rel=\"noopener noreferrer\" target=\"_self\" href=\"https://www.snowflake.com/ja/data-governance/master-data-management/\"\u003Eマスターデータ管理\u003C/a\u003E（MDM）イニシアチブの成功において重要な役割を果たします。MDMイニシアチブでは、組織は多数のソースからのデータを統合して信頼できる唯一の情報源を開発し、確立します。データドメインを定義し、データ品質ルールを設定し、システム間の不整合を解消し、顧客データなどの重要なデータタイプの記録が正確かつ完全であることを保証します。\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Ch3\u003Eデータ品質改善イニシアチブ\u003C/h3\u003E\r\n\u003Cp\u003Eデータスチュワードは、欠損値、重複レコード、フォーマットの不整合などのデータ品質の問題をモニタリングします。問題が特定されたら、明確なデータ定義の確立、品質メトリクスの設計、検証ルールの設定、データクリーンアップの監督、将来同様の問題が発生しないようにするための保護策の実施によって、修復を調整します。\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Ch3\u003Eビジネスインテリジェンスとアナリティクス\u003C/h3\u003E\r\n\u003Cp\u003Eデータスチュワードシップにより、アナリストやビジネスユーザーは信頼性の高いデータにアクセスして、レポート作成や分析を行えるようになります。適切に管理されたメタデータと慎重にメンテナンスされた\u003Ca href=\"https://www.snowflake.com/ja/data-governance/data-catalog/\" target=\"_self\"\u003Eデータカタログ\u003C/a\u003Eにより、ユーザーは関連情報を見つけ出し、そのコンテキストを理解して適切に利用し、正確なインサイトを獲得できます。\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n\u003Ch3\u003Eクラウド移行とデータ統合\u003C/h3\u003E\r\n\u003Cp\u003Eデータスチュワードは、クラウド移行プロジェクトやデータ統合プロジェクトにおいて、データ品質とガバナンス基準が維持されるよう支援します。システム間でデータをマッピングし、変換によってデータの整合性が維持されることを検証して、不整合があれば調整し、必要に応じてドキュメントを更新します。\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text_copy"]},"container_copy_copy_":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"youtube":"aem-GridColumn aem-GridColumn--default--12","text_copy":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn 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