People Analytics for Dummies
暫譯: 人力分析入門指南

West, Mike

  • 出版商: For Dummies
  • 出版日期: 2019-03-19
  • 售價: $1,440
  • 貴賓價: 9.5$1,368
  • 語言: 英文
  • 頁數: 464
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1119434769
  • ISBN-13: 9781119434764
  • 海外代購書籍(需單獨結帳)

商品描述

Maximize performance with better data

Developing a successful workforce requires more than a gut check. Data can help guide your decisions on everything from where to seat a team to optimizing production processes to engaging with your employees in ways that ring true to them.

People analytics is the study of your number one business asset--your people--and this book shows you how to collect data, analyze that data, and then apply your findings to create a happier and more engaged workforce.

  • Start a people analytics project
  • Work with qualitative data
  • Collect data via communications
  • Find the right tools and approach for analyzing data

If your organization is ready to better understand why high performers leave, why one department has more personnel issues than another, and why employees violate, People Analytics For Dummies makes it easier.

商品描述(中文翻譯)

**最大化性能,利用更好的數據**

發展成功的工作團隊不僅僅依賴直覺。數據可以幫助指導您在各方面的決策,從團隊的座位安排到優化生產流程,再到以員工能夠共鳴的方式與他們互動。

人員分析是對您最重要的商業資產——您的員工——的研究,本書將向您展示如何收集數據、分析這些數據,然後應用您的發現來創造一個更快樂、更投入的工作團隊。

- 開始一個人員分析項目
- 處理定性數據
- 通過溝通收集數據
- 找到合適的工具和方法來分析數據

如果您的組織準備更好地理解為什麼高績效者會離開,為什麼某個部門的人事問題比其他部門多,以及為什麼員工會違規,《People Analytics For Dummies》將使這一切變得更容易。

作者簡介

Mike West was a founding member of the first people analytics teams at Merck, PetSmart, Google, and Children's Health Dallas before starting his own firm, PeopleAnalyst, LLC. He has helped companies large and small design people analytics applications and start their own people analytics teams. Mike brings a unique perspective about how to use data to create winning companies and great places to work.

作者簡介(中文翻譯)

邁克·韋斯特是默克(Merck)、寵物智慧(PetSmart)、谷歌(Google)和達拉斯兒童醫院(Children's Health Dallas)首個人力分析團隊的創始成員,之後創立了自己的公司 PeopleAnalyst, LLC。他幫助大小企業設計人力分析應用程式並成立自己的團隊。邁克對如何利用數據創造成功的公司和優秀的工作環境有著獨特的見解。

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