#46 データの一元管理ってどこまでやるべき？どうやるべき？ - ヒトゴトラジオ

What this episode covers

【Summary】このシリーズでは、久しぶりに視聴者の方のお悩みに答えています！今回はM&Aにおける人事データの管理や統合の課題、現場の人事業務の複雑さ、データの一元管理の重要性、文化の違いによる人事評価の影響、データ収集の効率化について議論し、データのマッピングや更新の重要性、意思決定におけるデータの役割、データ分析における人間の感情、データの整備と機械化の必要性、データ収集の目的とその多様性、データ集約の方法とその課題についてお話ししています。【Chapters】00:00 人事データ管理の課題02:58 M&Aにおける人事データの統合06:03 現場の人事業務の複雑さ08:53 データの一元管理とその影響11:59 人事評価と文化の違い14:47 データ収集の効率化とチームの役割15:48 データのマッピングと更新の重要性17:06 データの定義と意思決定の役割18:54 データ分析における人間の感情19:50 データの整備と機械化の必要性22:12 データ収集の目的とその多様性24:10 データ集約の方法とその課題【ご相談・ご感想】以下のフォーム、またはSpotifyのコメントより、ご相談・ご感想を募集しております！※ご連絡が多数の場合は、ご紹介しきれないことがありますことご了承ください。⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://forms.gle/ioMdvgkKBjPBduq99⁠⁠⁠⁠⁠⁠⁠

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How long is this episode of ヒトゴトラジオ - 人事のもやもやをPeople Analyticsで考える -?

This episode is 27 minutes long.

When was this ヒトゴトラジオ - 人事のもやもやをPeople Analyticsで考える - episode published?

This episode was published on May 3, 2026.

What is this episode about?

【Summary】このシリーズでは、久しぶりに視聴者の方のお悩みに答えています！今回はM&Aにおける人事データの管理や統合の課題、現場の人事業務の複雑さ、データの一元管理の重要性、文化の違いによる人事評価の影響、データ収集の効率化について議論し、データのマッピングや更新の重要性、意思決定におけるデータの役割、データ分析における人間の感情、データの整備と機械化の必要性、データ収集の目的とその多様性、データ集約の方法とその課題についてお話ししています。【Chapters】00:00...

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