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Published: 01 July 2022



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  • 国内の組織においては、分析用途の統合データ環境を構築しようとするものの、構築すること自体目的化してしまい、ビジネス上の目的や価値という観点から見ると確実性に乏しいものになっている。また、マスタ・データの管理が行き届いていないため、簡単にデータを統合できない状況がある

  • 世界で注目されているラフ技術のような新興テクノロジ対する認識がなく、そうした技術の習得といった、活用に向けた取り組みが行えていない。

  • マスタ・データ管理 (MDM) の成功に不可欠な、ビジネス部門からの協力の取り付け方や、取り組みで得られる価値の伝え方といったところで苦労している。



  • ジネス上の目的や最終目標について関係者間で合意し、ゴールに到達するまでの道のりを説明した上で、短期間で取り組める範囲に絞ったデータ抽出や変換処理の実装から始める。

  • 取り組みを次の段階へ進めるか否かについては、常にビジネス価値を基点とし、ステークホルダーの判断を仰ぐ。その際、MDMの取り組みで得られるビジネス価値を高めるためデータの関係をグラフ技術で分析するなど、新たなビジネス価値の創出を考慮する。

  • 本格的にMDMに取り組むに当たっては、組織的なコミットメントを確保し、部門間の意見調整や意思決定のためのステアリング・コミッティを構成する。実務的には、対象データに関係するビジネス部門を巻き込み、必要に応じて業務オペレーションやプロセスを変更する。

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