Predicting business success : using smarter analytics to drive results / Shane Douthitt [and three others].

Format:

Book

Author/Creator:

Douthitt, Shane, author.

Language:

English

Subjects (All):

Success in business.

Prediction of occupational success.

Executive ability--Evaluation.

Executive ability.

Physical Description:

1 online resource (265 pages)

Edition:

1st ed.

Place of Publication:

Alexandria, VA : Society For Human Resource Management, [2018]

Summary:

Learn how to link people data to business results and scale HR analytics across your organization.

Contents:

Front Cover

Advance Praise for Predicting Business Success

Title Page

Half Title

Copyright

Contents

Foreword

Preface

Acknowledgments

Introduction

Section 1

Chapter 1: HR Analytics 101

Making It Simple: Big Data and Predictive Analytics in HR

Artificial Intelligence and Machine Learning

Chapter 2: Align HR Strategy with Business Outcomes and Goals

Stakeholder Interviews

The Business Partner Roadmap

Case Study

What HR Analytics Should Be

Conclusion

Section 2

Building Predictive Talent Profiles

Chapter 3: Key Data Elements for Predicting Business Success

Data, Data, Data: Sources and Integration

Bringing Together Key Data sets to Understand Business Impact: A Case Study

Chapter 4: Making Data Predictive

Obstacles to Smarter Analytics

Smarter Analytics: Getting Started

Section 3

Data and Analytics Across the Employment Lifecycle

Chapter 5: Selection and Recruitment

Realistic Expectations and Assessing Fit

Advances in Personality Assessments

Chapter 6: Onboarding

Onboarding

Using Smarter Analytics with Onboarding Survey Data

Onboarding Analysis with Smarter Analytics: Phase II

Chapter 7: Employee Surveys

Applying Smarter Analytics to Employee Surveys

The Mechanics of the Strategic Survey HeatMap

Be Careful: Benchmark Myopia

HR as a Business Partner

Be Careful: The Dangers of Engagement

What Drives Business Outcomes?

Proper Analytics Lead to ROI

Measuring and Diagnosing Turnover with Analytics

The Connection between Turnover Risk and Voluntary Turnover

Be Careful: Pulse Surveys and Continuous Listening

More Is Not Always the Answer

Survey Action Planning

Chapter 8: 360° Development and Training Needs

How Are Organizations Changing or Evolving the Way They Utilize 360° Feedback Surveys?.

Using a Competency Model to Develop a 360° Tool

Smarter Analytics in Action: Which Competencies Drive Results?

Identifying Critical Competencies and Behaviors by Differentiators

Development vs. Performance Evaluation

Training-Needs Assessment

ROI of Training Interventions: Behavior Change and Business Impact

Chapter 9: Data Integration

Some Data Dashboards Are Effective

An Integrated Lifecycle Story

Telling Compelling Stories with the Employee Lifecycle: The Millennial Myth

Succession Planning: A Unique Data-Integration Opportunity

Section 4

Case Studies

Chapter 10: Case Study One

Four-Step Process

Summary

Chapter 11: Case Study Two

Phase One

Phase Two

Appendices

Appendix A: The Concept of Causality

Theory

Correlation

Including All Relevant Causal Variables

Accounting for Measurement Error

Appendix B: The Mechanics of Employee Hiring

What the Research Tells Us: Effective Execution of Structured Selection System

Step One: Conduct a Job Analysis or Build a Competency Model

Step Two: Choose the Appropriate Selection Tools

Step Three: Establish the Structure of the Selection Process

Step Four: Establish a Strategy for Making the Final Selection Decision

Building a Business-Focused Selection Process

Appendix C: The Basics of 360° Assessments

Multi-Rater Assessment Approach Advantages

Frequently Asked Questions

Appendix D: Succession-Planning Basics

What the Research Tells Us

Effective Design and Execution

Common Obstacles to Successful Succession Planning

Building a Business-Focused Succession Plan

Succession-Planning Metrics

Endnotes

About the Authors

Index

Other SHRM Titles

Books Approved for SHRM Recertification Credits.

Notes:

Description based on print version record.

Description based on publisher supplied metadata and other sources.

ISBN:

1-58644-538-3

OCLC:

1041937853