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Human Capital Analytics: How to Harness the Potential of Your Organization's Greatest Asset (Wiley and SAS Business Series) by [Pease, Gene, Byerly, Boyce, Fitz-enz, Jac]
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Human Capital Analytics: How to Harness the Potential of Your Organization's Greatest Asset (Wiley and SAS Business Series) Kindle Edition

5.0 out of 5 stars 1 customer review

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Length: 256 pages Word Wise: Enabled

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Product description

From the Inside Flap

Is your company getting the most out of its human capital? It′s time it did the human resources industry is finally grasping the value of understanding its human capital and evolving from a shepherd′s role to one that adds significant strategic value. Find out what′s going on with your workforce, how investments affect it, and how to communicate effectively with all parts of the enterprise with the breakthrough guidance found in Human Capital Analytics.

Building upon the work of coauthor Jac Fitz–enz the father of human analytics and his book, Human Capital Metrics for the 21st Century, this well–researched book applies advanced statistical methodology coupled with today′s computing power. It focuses on predictive analytics analytics that not only measure impact but also help optimize and prescribe future investments. This visionary book will inspire you to apply the same tools used to evaluate and improve finance, marketing, and operations investments to human capital investments, with the same rigor.

HR practitioners have begun to embrace analytics at the same time that organizational leaders are demanding increasing accountability from HR. Filled with case studies from leading global organizations, Human Capital Analytics is the timely, groundbreaking resource that will improve your understanding of the power of optimizing your people investments.

From the Back Cover

Wake up to the potential value of advanced analytics on human capital

Ignoring human capital analytics in the hopes that it′s a passing fad puts your company at risk of becoming obsolete. The forces behind it are that powerful.

Providing an in–depth look at the science of human capital analytics, Human Capital Analytics presents practical examples from case studies of companies successfully applying analytics to their people decisions and features a framework for using predictive analytics to optimize your human capital investments.

In Human Capital Analytics, Gene Pease, Boyce Byerly, and Jac Fitz–enz present a transformative view of human capital analytics, with a blueprint covering:

  • Deciding what to measure with your stakeholders
  • How to get organized with subjects such as alignment and a measurement plan
  • What dashboards are telling you: descriptive statistics and correlations
  • Optimization how to get beyond business impact and ROI to descriptive analytics
  • Presenting financials: how to present findings to effect organizational change

We are at a moment in time where theories about human capital, the amount of data available, and the computing power necessary to deal with the data are radically changing how business is done. Revolutionary and forward–thinking, Human Capital Analytics reveals the essential action steps every organization awash in a sea of data needs to take to effectively implement advanced analytics on human capital within its business.

Product details

  • Format: Kindle Edition
  • File Size: 1522 KB
  • Print Length: 256 pages
  • Publisher: Wiley; 1 edition (6 Oct. 2012)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B009NLQR7W
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Enabled
  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: 5.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: #1,145,713 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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17 January 2013
Format: Hardcover|Verified Purchase
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Amazon.com: 5.0 out of 5 stars 2 reviews
7 people found this helpful.
5.0 out of 5 starsWell worth a read!
on 9 May 2013 - Published on Amazon.com
Format: Hardcover
2 people found this helpful.
5.0 out of 5 starsMust read if you are involved with Analytics
on 20 August 2013 - Published on Amazon.com
Format: Hardcover
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