Predictive Analytics for Human Resources E-Book

Jac Fitz-enz

• Herausgeber: John Wiley & Sons
• Kategorie: Fachliteratur
• Serie: SAS Institute Inc
• Sprache: Englisch

Seitenzahl: 205

Veröffentlichungsjahr: 2014

Beschreibung

Create and run a human resource analytics project with confidence For 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.

Leseprobe

Contents

Foreword

Preface

Chapter 1: Where’s the Value?

Some Basics

What Is Analytics?

Two Values

Analytic Capabilities

Analytic Value Chain

Analytic Model

Typical Application

Training Value Measurement Model

Inside the Data

Notes

Chapter 2: Getting Started

Go-to-Market Models

Assessment

Developmental Experiences

Financial Connections

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

Essential Step

Prime Question

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

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 Data, and Will They Share It?

What Will You Do with the Data?

What Form Is the Data In?

Is the Data Quality Sufficient?

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

Predictive Analytics for HR in Action

Notes

Epilogue

Appendix: Example Measures of Efficiency, Effectiveness, and Outcomes

About the Authors

Index

End User License Agreement

List of Exhibits

Exhibit 1.1 Analytic Paths

Exhibit 1.2 How Your Company Makes Money

Exhibit 1.3 Data Analysis Levels

Exhibit 1.4 Capital Interactions

Exhibit 1.5 Preventable Reasons Why Employees Disengage

Exhibit 1.6 Finding Training Value

Exhibit 2.1 Go-to-Market Models

Exhibit 2.2 Leadership Development

Exhibit 2.3 Human Capital Income Statement (HCI$)

Exhibit 2.4 Force Analysis

Exhibit 2.5 Analytics Unit Development

Exhibit 3.1. Reporting versus Analysis

Exhibit 3.2 Cooking Up an Analytic Meal