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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"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"}},":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"],"classNames":"aem-xf"}},":itemsOrder":["text","experiencefragment"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"fundamentals-main-content",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"gridClassNames":"aem-Grid aem-Grid--12 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aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"overview",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-428b318644","type":"heading2","lines":["概要"],":type":"snowflake-site/components/title-v2"},"text":{"id":"text-5d6830ca09","text":"\u003Cp\u003Eマスターデータ管理（MDM）とは、ビジネス情報を、一元化された状態で、正確かつ包括的に把握するための基盤です。MDMは、内部ソースおよび外部ソースの両方のデータを統合して、信頼できる唯一の情報源を確立します。MDMを利用することによって、組織は顧客プロファイル、製品の在庫、サプライヤーの詳細などを包括的に把握できます。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_v2_copy_copy":{"id":"title-v2-2300dc948f","type":"heading3","lines":["ビジネスにおけるMDMの役割"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"},"text_copy":{"id":"text-6a4ce083b3","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EMDMは信頼性と確実性の高いデータの中央リポジトリを作成します。このリポジトリを利用することによって、企業はサイロ化された一貫性のないデータによって生じるリスク（不正確なレポートや断片的な顧客インサイトなどの問題）を軽減できます。MDM戦略を適切に導入することで、組織は一貫性があり、信頼できるデータを生成できるようになります。その結果、各ビジネス部門が情報に基づいた意思決定、業務効率の改善、顧客体験の強化を実現できるようになります。\u003C/p\u003E\r\n\u003Cp\u003Eまた、MDMは社内チームと外部パートナーの双方が必要に応じてアクセスできるデータの単一ビューを作成することで、コラボレーションを促進します。たとえば、物流企業はMDMを使用することによってサプライチェーンシステム全体のロケーションデータの一貫性を確保し、在庫管理を合理化して納期遵守率を向上させることができます。\u003C/p\u003E\r\n\u003Cp\u003EMDM戦略の作成には、ビジネス要件の特定、データドメインのマッピング、適切なツールとテクノロジーの選択、\u003Ca href=\"https://www.snowflake.com/ja/data-governance/\" target=\"_self\"\u003Eデータガバナンス\u003C/a\u003Eポリシーの定義、データスチュワードの役割の設定などが必要です。このような構造化されたアプローチによってMDMを戦略的なツールとして使用できるようになり、組織のデータ活用方法を変革できます。\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text","title_v2_copy_copy","text_copy"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"container_1290449388":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2_copy":"aem-GridColumn aem-GridColumn--default--12","text_copy_copy_29527":"aem-GridColumn 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400;\"\u003E\u003Cb\u003E顧客データ： \u003C/b\u003E\u003C/span\u003E顧客データは、顧客のIDと属性を定義するプロファイルです。名前、連絡先の詳細、アカウント履歴などが含まれます。顧客データは、CRM、請求、サポートの各システム全体で一貫した顧客情報を提供します。\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003E製品データ： \u003C/b\u003E製品データは、製品名、SKU、仕様、価格など、商品やサービスを説明する情報です。信頼性の高い製品データは、在庫管理、販売、Eコマースをサポートします。\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003Eロケーションデータ： \u003C/b\u003Eロケーションデータは、住所、リージョン、施設IDなどの地理的詳細です。一貫性のあるロケーションデータは、物流、配送、規制遵守にとって不可欠です。\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-extra-small"}},":itemsOrder":["title_v2_copy","text_copy_copy_29527"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},"container_copy_copy_":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"text_copy_copy_29527":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn 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aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"importance",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-bf10427536","type":"heading2","lines":["マスターデータ管理が重要である理由"],":type":"snowflake-site/components/title-v2"},"text_copy_1475342575":{"id":"text-676f86a8a0","text":"\u003Cp\u003EMDMの重要性は計り知れません。マスターデータ管理を導入することによって、企業は以下の重要な成果を実現できます。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text_copy_copy_29527":{"id":"text-03f0344115","additionalClasses":"list--blue-bullets","text":"\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003Eデータの精度と一貫性の強化\u003C/b\u003E：クリーンで信頼できるデータは、効果的な意思決定の基盤です。すべてのシステムで信頼できる唯一の情報源を利用できれば、物流業務で在庫数が矛盾するような、高いコストの原因となるエラーを削減できます。\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003Eデータアナリティクスの強化：\u003C/b\u003E信頼できるデータによって、より詳細なインサイトを入手できます。信頼できる唯一の情報源を利用すると、戦略的な意思決定を推進するトレンド、パターン、相関関係を容易に特定できます。たとえば、小売企業であれば顧客の行動や購入履歴に関する\u003Ca href=\"https://www.snowflake.com/ja/fundamentals/data-analytics/\"\u003Eアナリティクス\u003C/a\u003Eを使用して、各ユーザー向けにパーソナライズされた製品レコメンデーションを提供できます。\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003E業務効率化：\u003C/b\u003Eデータ管理の一元化と標準化によって、時間のかかる手動のタスクを削減できます。その結果、リソースが重要な製品の開発に集中できるようになり、業務効率と開発者の生産性が向上します。次に、たとえば製造企業であれば、MDMで需要と供給のデータを統合することで、生産のスケジューリングを改善し、ダウンタイムを防止してワークフローを円滑にできます。\u003C/li\u003E\n\u003C/ul\u003E\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","text_copy_copy_29527"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"container_copy_43816_1392604614":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2_copy_copy_c_854165456":"aem-GridColumn aem-GridColumn--default--12","flexible_column_cont":"aem-GridColumn 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aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"key-components",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-9c8ff93b75","type":"heading2","lines":["MDMの主要な構成要素"],":type":"snowflake-site/components/title-v2"},"title_v2_copy_copy_c":{"id":"title-v2-190c76b426","type":"heading3","lines":["データガバナンス"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"},"text_copy_copy_29527":{"id":"text-77e7aed0a6","text":"\u003Cp\u003E MDMとデータガバナンスは相互に関連し、支援し合う関係にあります。データガバナンスでは、規制、プライバシー、セキュリティ標準にデータを準拠させるためのポリシーと役割を定めます。MDMでは、マーケティング、販売、財務、オペレーションなどのビジネス部門をサポートする、単一のクリーンな情報源の作成に重点が置かれます。MDMはマスターデータリポジトリの維持によって効果的なデータガバナンスを実現し、ガバナンスはデータ標準の適用によって一貫したデータ品質を確保します。MDMとガバナンスとの組み合わせによって、一貫性、正確性、信頼性が向上します。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_v2_copy_copy_c_188661303":{"id":"title-v2-479f2ed6a3","type":"heading3","lines":["データ品質"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"},"text_copy_copy_29527_1928236125":{"id":"text-c6a331deb0","text":"\u003Cp\u003Eデータ品質はMDMの重要な構成要素です。MDM戦略が極めて適切に設計されていたとしても、データの信頼性が低ければ無意味になる可能性があります。高品質なデータは、正確性、完全性、一貫性によって定義され、ビジネス上の意思決定のための信頼性の高い基盤となります。  このレベルのデータ品質を達成し、維持するには、データのクリーニング、検証、標準化を行うプロセスなどの多くの作業が必要です。このようなプロセスを合理化し、手作業のワークロードを軽減するうえで重要な役割を果たすのがテクノロジーと自動化です。高度なデータ品質ソフトウェアを利用することによって、エラー、不整合、重複を削減できます。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_v2_copy_copy_c_1902378373":{"id":"title-v2-0499a8d889","type":"heading3","lines":["データ統合"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"},"text_copy_copy_29527_1599672602":{"id":"text-e7ee1db0c8","text":"\u003Cp\u003Eデータ統合は一般的にETL（抽出、変換、ロード）と呼ばれ、以下の3つの主要な処理で構成されます。 \u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text_copy_copy_29527_1502676433":{"id":"text-a0a072cfaa","additionalClasses":"list--blue-bullets","text":"\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E抽出：\u003C/b\u003E指定したデータソースからデータをエクスポートする\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E変換：\u003C/b\u003Eルールや変換処理を用いて、ターゲットに合わせてデータを変換する\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cb\u003Eロード：\u003C/b\u003E変換されたデータをターゲットのデータベースへインポートする\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text_copy_copy_29527_527539501":{"id":"text-d68417a401","text":"\u003Cp\u003E最近では、データの統合が\u003Ca rel=\"noopener noreferrer\" target=\"_self\" href=\"https://www.snowflake.com/ja/fundamentals/understanding-extract-load-transform-elt/\"\u003EELT\u003C/a\u003Eと表現されることもあります。この表現では、Snowflakeのようなシステムのサポートによって、\u003Ca rel=\"noopener noreferrer\" target=\"_self\" href=\"https://www.snowflake.com/en/fundamentals/unlocking-value-through-data-transformation-in-modern-pipelines/\"\u003Eデータ変換\u003C/a\u003Eをロード中やロード後に実行できることが強調されています。多数のソースのデータセットを各種のビジネス部門で使用できる単一のリポジトリに統合するには、このプロセスが必要です。\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_v2_copy_copy_c_793938129":{"id":"title-v2-1889923784","type":"heading3","lines":["データセキュリティ"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"},"text_copy_copy_29527_1805022522":{"id":"text-2bdf010418","text":"\u003Cp\u003Eデータセキュリティとは、不正アクセス、盗難、破損から情報を保護するための一連の対策です。データセキュリティは、ハードウェアおよびソフトウェアアプリケーションの保護から、アクセス制御やデータガバナンスポリシーの実装まで、セキュリティのあらゆる要素への対応を支援します。データセキュリティは、データを必要とする認可された人員が、必要なときにデータを利用できるようにすることにも重点を置いています。 \u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_v2_copy_copy_c_1931117012":{"id":"title-v2-22020a898a","type":"heading3","lines":["データスチュワードシップ"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"},"text_copy_copy_29527_235976618":{"id":"text-5e4b365aed","text":"\u003Cp\u003E\u003Ca 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Horizon Demo for Data Governors And Stewards"],":type":"snowflake-site/components/title-v2"},"button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://www.youtube.com/watch?v=bF6FAMeGEZc&t=1s"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"今すぐ視聴する"},"image":{"id":"image","height":"500","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--aab8a01a-a09a-42bf-a0d4-9b8e2aa8f891/graphic-snowflake-snowday23-pr-horizon-diagram.png?preferwebp=true&quality=85","alt":"Horizon","lazyEnabled":true,"width":"1200",":type":"snowflake-site/components/image"},"type":"content-card","text":{"id":"text","text":"\u003Cp\u003Eデータガバナーとデータスチュワードを対象としたこちらのデモでは、機密データの分類とタグ付け、リネージの可視化、データ品質のモニタリング、きめ細かなポリシーの適用など、Snowflake 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