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Human Capital Analytics - How to Harness the Potential of Your Organization's Greatest Asset

Language EnglishEnglish
Book Hardback
Book Human Capital Analytics - How to Harness the Potential of Your Organization's Greatest Asset Gene Pease
Libristo code: 01212544
Publishers John Wiley & Sons Inc, November 2012
An insightful look at the implementation of advanced analytics on human capital Human capital analy... Full description
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An insightful look at the implementation of advanced analytics on human capital Human capital analytics, also known as human resources analytics or talent analytics, is the application of sophisticated data mining and business analytics techniques to human resources data. Human Capital Analytics provides an in-depth look at the science of human capital analytics, giving practical examples from case studies of companies applying analytics to their people decisions and providing a framework for using predictive analytics to optimize human capital investments. Written by Gene Pease, Boyce Byerly, and Jac Fitz-enz, widely regarded as the father of human capital Offers practical examples from case studies of companies applying analytics to their people decisions An in-depth discussion of tools needed to do the work, particularly focusing on multivariate analysis The challenge of human resources analytics is to identify what data should be captured and how to use the data to model and predict capabilities so the organization gets an optimal return on investment on its human capital. The goal of human capital analytics is to provide an organization with insights for effectively managing employees so that business goals can be reached quickly and efficiently. Written by human capital analytics specialists Gene Pease, Boyce Byerly, and Jac Fitz-enz, Human Capital Analytics provides essential action steps for implementation of advanced analytics on human capital.

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About the book

Full name Human Capital Analytics - How to Harness the Potential of Your Organization's Greatest Asset
Author Gene Pease
Language English
Binding Book - Hardback
Date of issue 2012
Number of pages 256
EAN 9781118466766
ISBN 1118466764
Libristo code 01212544
Weight 438
Dimensions 234 x 172 x 23
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