Predictive analytics for human resources (Record no. 26688)

000 -LEADER
fixed length control field 05052cam a22003858a 4500
FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140421s2014 nju 001 0 eng
LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2014013430
INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118893678
CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
AUTHENTICATION CODE
Authentication code pcc
LIBRARY OF CONGRESS CALL NUMBER
Classification number HF5549
Item number .F559 2014
DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.3/01
Edition number 23
OTHER CLASSIFICATION NUMBER
Classification number BUS019000
Source of number bisacsh
SYSTEM CONTROL NUMBER
System control number (IMchF)fol15270773
DATE AND TIME OF LATEST TRANSACTION
control field 20170126100800.0
CONTROL NUMBER
control field 60690
CONTROL NUMBER IDENTIFIER
control field UOWD
MAIN ENTRY--PERSONAL NAME
Personal name Fitz-enz, Jac
TITLE STATEMENT
Title Predictive analytics for human resources
Statement of responsibility, etc Jac Fitz-enz, John Mattox, II
PROJECTED PUBLICATION DATE
Projected publication date 1407
PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, N.J. :
Name of publisher, distributor, etc Wiley,
Date of publication, distribution, etc c2014.
PHYSICAL DESCRIPTION
Extent xix, 149 p. :
Other physical details ill. ;
Dimensions 24 cm.
SERIES STATEMENT
Series statement Wiley and SAS business series
GENERAL NOTE
General note Includes index.
SUMMARY, ETC.
Summary, etc "Create and run a human resource analytics project with confidenceFor any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: "Where do I start?" and "What tools are available?" Predictive Analytics for Human Resources is designed to answer these and other vital questions. The book explains the basics of every business--the vision, the brand, and the culture, and shows how predictive analytics supports them. The authors put the focus on the fundamentals of predictability and include a framework of logical questions to help set up an analytic program or project, then follow up by offering a clear explanation of statistical applications.Predictive Analytics for Human Resources is a how-to guide filled with practical and targeted advice. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, this important resource addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor. In the book, you'll find: A comprehensive guide to developing and implementing a human resource analytics project Illustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modeling Explanations of the ten steps required in building an analytics function How to add value through analysis of systems such as staffing, training, and retention For anyone who wants to launch an analytics project or program for HR, this complete guide provides the information and instruction to get started the right way"--
-- Provided by publisher.
SUMMARY, ETC.
Summary, etc "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.
FORMATTED CONTENTS NOTE
Formatted contents note Machine generated contents note: Foreword Preface Chapter 1: Where's The Value? Some Basics What Is Analytics? Two Values Analytic Capabilities Analytic Value Chain The Analytic Model A Typical Application Training Value Measurement Model Inside The Data Notes Chapter 2: Getting Started Go-to-Market Models Assessment Developmental Experiences Financial Connections A Sample Case Focusing on the Purpose Present Day Needs How Human Capital Analytics Is Being Used Turning Data into Information Three Value Paths Solving a Problem An Essential Step The Prime Question A Case in Point Preparing For an Analytics Unit Ten Steps for an Analytics Unit Structure and Team Building Developing an Analytics Culture Notes Chapter 3: What You Will Need Dealing with the C-Level Breaking Through Research Recruiting a Sponsor or Champion Making the Sale A Selling Example Working with Consultants and Coaches Designing and Delivering Reports Making an Impact Process Management Preparation Notes Chapter 4: Data Issues Efficiency Measures Effectiveness Measures Business Outcome Measures Note Chapter 5: Predictive Statistics Examples Begin with the End in Mind Go Back to the Beginning Who Owns It and Will They Share It? What Will You Do with It? What Form Is It In? Is There Sufficient Quality? Note Chapter 6: Predictive Analytics in Action First Step: Determine the Key Performance Indicators Second Step: Analyze and Report the Data Relationships, Optimization, and Predictive Analytics Predictive Analytics Interpreting the Results Predicting the Future Structural Equation Modeling Notes Chapter 7: Predicting the Future of Human Capital Analytics What Does the Future Look Like? Bringing It All Together What Does the Future Look Like? Notes Epilogue Appendix: Example Measures of Efficiency Effectiveness and Outcomes About the Authors Index .
STUDY PROGRAM INFORMATION NOTE
Program name MGMT930
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Personnel management
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Human capital
General subdivision Management
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Decision making
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element BUSINESS & ECONOMICS / Decision-Making & Problem Solving
Source of heading or term bisacsh
ADDED ENTRY--PERSONAL NAME
Personal name Mattox, John R.,
Dates associated with a name 1971-
ADDED ENTRY ELEMENTS (KOHA)
Koha item type REGULAR
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Source of acquisition Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Cost, replacement price Price effective from Koha item type
        University of Wollongong in Dubai University of Wollongong in Dubai MAIN 2015-06-17 Friendship bookshop 1 2 658.301 FI PR T0017505 2022-06-03 2022-04-17 184.00 2017-01-26 REGULAR

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