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Predictive analytics for human resources/ by Jac Fitz-enz, John R. Mattox

By: Contributor(s): Material type: TextTextPublication details: Hoboken, New Jersey: John Wiley & Sons, Inc., 2014Edition: 1st edDescription: xv, 149 p.: ill.; 25 cmISBN:
  • 9781118893678
Subject(s): DDC classification:
  • 658.301  FIP
Contents:
Where's the Value?
Getting Started
What You Will Need
Data Issues
Predictive Statistics Examples
Predictive Analytics in Action
Predicting the Future of Human Capital Analytics
Appendix: Example Measures of Efficiency, Effectiveness, and Outcomes
Summary: Summary:"Predictive Analytics for Human Resources is a comprehensive guide to developing and implementing a human resource analytics project. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, it addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor"-- Provided by publisher
Item type: Books List(s) this item appears in: Human Resource Management Discipline
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Holdings
Item type Current library Collection Shelving location Call number Copy number Status Date due Barcode
Books Books KU Central Library Rack No. : 41 Annex : 01 Shelve No. : A-04 Reference Section (Non-Issuable Books) 658.301 FIP 2014 (Browse shelf(Opens below)) C-1 (NI) Not For Loan 51813
Books Books KU Central Library Rack No. : 41 Annex : 01 Shelve No. : A-04 Reference Section (Non-Issuable Books) 658.301 FIP 2014 (Browse shelf(Opens below)) C-2 (NI) Not For Loan 51814

Includes index

Where's the Value?

Getting Started

What You Will Need

Data Issues

Predictive Statistics Examples

Predictive Analytics in Action

Predicting the Future of Human Capital Analytics

Appendix: Example Measures of Efficiency, Effectiveness, and Outcomes

Summary:"Predictive Analytics for Human Resources is a comprehensive guide to developing and implementing a human resource analytics project. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, it addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor"-- Provided by publisher

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