Midlands State University Library
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Fundamentals of HR analytics : a manual on becoming HR analytical / created by Fermin Diez, Mark Bussin, Venessa Lee.

By: Contributor(s): Material type: TextTextPublisher: Emerald Publishing, [2020]Copyright date: ©2020Description: xxv, 252 pages : illustrations ; 22 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781789739640
  • 1789739640
Subject(s): Additional physical formats: Electronic version:: Fundamentals of HR Analytics.LOC classification:
  • HF5549.A3 DIE
Summary: This title provides practical, hands-on approaches to connect data to HR policies and practices to help influence overall business performance. Building on traditional HR skill sets, it makes understanding and engaging with data analytics possible for professionals at all levels. Leveraging key statistical and financial concepts, including ROI and people productivity, and commonly available tools such as Workday and Tableau, the authors explore key skills and tasks in an accessible and illuminating way, including: data-analytic thinking data management data collection clean-up and warehousing building descriptive and predictive models applying HR analytics skills and tools to workforce planning, recruitment, training, and turnover analysis.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Core Collection Main Library Core Collection HF5549.A3 DIE (Browse shelf(Opens below)) 163049 Available BK151087

Includes bibliographical references (page 247) and index.

This title provides practical, hands-on approaches to connect data to HR policies and practices to help influence overall business performance. Building on traditional HR skill sets, it makes understanding and engaging with data analytics possible for professionals at all levels. Leveraging key statistical and financial concepts, including ROI and people productivity, and commonly available tools such as Workday and Tableau, the authors explore key skills and tasks in an accessible and illuminating way, including: data-analytic thinking data management data collection clean-up and warehousing building descriptive and predictive models applying HR analytics skills and tools to workforce planning, recruitment, training, and turnover analysis.

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