Predictive Analytics for Human Resources

ISBN-10: 1118893670
ISBN-13: 9781118893678
Edition: 2014
List price: $49.95 Buy it from $26.80
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Description: With the excitement surrounding analytics many people have asked the questions; "Where do I start?" and "What tools are available?"  This book is designed to answer those concerns.  Where to start depends on where you are, where you want to go, how  More...

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Book details

List price: $49.95
Copyright year: 2014
Publisher: John Wiley & Sons, Incorporated
Publication date: 7/28/2014
Binding: Hardcover
Pages: 176
Size: 6.50" wide x 9.50" long x 0.75" tall
Weight: 0.990
Language: English

With the excitement surrounding analytics many people have asked the questions; "Where do I start?" and "What tools are available?"  This book is designed to answer those concerns.  Where to start depends on where you are, where you want to go, how difficult the path to the future is and how you expect to get there.  Too often, this initial scanning and assessment of all forces and factors is ignored, given too little attention or is a replay of the past.  As a result future outcomes are, at best, suboptimized, or worst, embarrassing and costly failures that can even take someone's job. Starts by explaining the basics of every business: vision, band and culture, and how predictive analytics supports them.Focuses on the two fundamentals of predictability:  (1) a framework of logical questions to set up an analytic program or project, (2) an explication of statistical applications.A how-to-do-it with practical specific advice from the basic idea of engaging in predictive analytics all the way through to case simulations showing statistical examples.Addresses the reader's needs of internal coaching, mentoring and sponsoring including how to recruit a sponsor.Shows how to add value through analysis of systems such as staffing, training and retention.Provides an example of three major retailers, how they go to market, develop a leadership model, and link it to financial targets through causal modeling.Explains the 10 steps required in building an analytics function.

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