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

Pease, Gene

Rilegato

ISBN 10: 1118466764 ISBN 13: 9781118466766

Casa editrice: Wiley, 2012

Riassunto

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.

Su questo libro

Informazioni sull?autore

GENE PEASE is cofounder and CEO of Capital Analytics, a consultancy revolutionizing the way companies evaluate their investments in people. He has over 25 years' experience as a CEO managing mid-cap and early stage companies. Under his leadership, Capital Analytics has been recognized by Bersin and Associates, CLO Magazine, Gartner, and the ROI Institute.

BOYCE BYERLY, PHD, is cofounder and chief scientist of Capital Analytics. He has more than fifteen years of experience designing and managing pure and applied research projects with high technology firms in the Research Triangle Area of North Carolina. He directed the Capital Analytics team that developed the methodology and the analytical tools that are the core intellectual assets of Capital Analytics.

JAC FITZ-ENZ, PHD, is widely regarded as the father of human capital strategic analysis and measurement. He founded the famous Saratoga Institute and published the first HR metrics in 1978 and the first international HR benchmarks in 1985. HR World cited him as one of the top five "HR Management Gurus," IHRIM gave him its Chairman's Award for innovation, and SHRM chose him as one of the persons in the twentieth century who "significantly changed what HR does and how it does it." He has authored twelve books and trained 90,000 managers in forty-six countries on strategic management and measurement. His book, The New HR Analytics, introduced predictive analytics to HR.

Dalla quarta di copertina

Human Capital Analytics

How to Harness the Potential of Your Organization's Greatest Asset

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.

Dal risvolto di copertina interno

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.

Dettagli dell?edizione

• Editore: Wiley
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1118466764
• ISBN 13: 9781118466766
• Rilegatura: Copertina rigida
• Numero di pagine: 256
• Contatto del produttore: non disponibile