Data-driven HR : how to use analytics and metrics to drive performance

著者

書誌事項

Data-driven HR : how to use analytics and metrics to drive performance

Bernard Marr

Kogan Page, 2018

大学図書館所蔵 件 / 全1件

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.

目次

  • Chapter - 01: What is data-driven HR?
  • Chapter - 02: The evolution of intelligent (and super-intelligent) HR
  • Chapter - 03: Data-driven strategy: making a business case for more intelligent HR
  • Chapter - 04: Capitalizing on the data explosion: identifying key sources of HR-relevant data
  • Chapter - 05: Data-driven HR tools: turning data into insights with HR analytics
  • Chapter - 06: Potential pitfalls: looking at data privacy, transparency and security
  • Chapter - 07: Data-driven recruitment
  • Chapter - 08: Data-driven employee engagement
  • Chapter - 09: Data-driven employee safety and wellness
  • Chapter - 10: Data-driven learning and development
  • Chapter - 11: Data-driven performance management
  • Chapter - 12: The future of data-driven HR

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