PROVE THE VALUE OF YOUR HR PROGRAM WITH HARD DATA
While corporate leaders may well know the value of human capital, they don’t always understand the extent to which the HR function contributes to the bottom line. So when times get tough and business budgets get cut, HR
departments often take the first hit.
In this groundbreaking guide, the cofounders of ROI Institute, Jack Phillips and Patti Phillips, provide the tools and techniques you need to use analytics to show top decision makers the value of HR in your organization.
Focusing on three types of analytics--descriptive,
predictive, and prescriptive--Making Human Capital Analytics Work shows how you can apply analytics by:
- Developing relationships between variables
- Predicting the success of HR programs
- Determining the cost of intangibles that are otherwise diffi cult to value
- Showing the business value of particular HR programs
- Calculating and forecasting the ROI of various HR projects and programs
Much more than a guide to using data collection and analysis, Making Human Capital Analytics Work is a template for spearheading large-scale change in your organization by dramatically influencing your department's overall image within the organization.
The authors take you step-by-step through the processes of using hard data to drive decisions and demonstrate the tangible value of HR.
You know that your department is more than administrative and transactional--that it's an integral player in your company's strategy. Apply the lessons in Making Human Capital Analytics Work and ensure that all other stakeholders know too.
|Publisher:||McGraw-Hill Professional Publishing|
|Product dimensions:||6.10(w) x 9.10(h) x 1.30(d)|
About the Author
Jack Phillips, PhD, (Birmingham, AL) is the founder of the ROI Institute and author or editor of more than 60 books. He conducts workshops, provides consulting services, and speaks at conferences globally.
Patricia Pulliam Phillps, PhD, (Birmingham, AL) is president and CEO of the ROI Institute, Inc. She has authored or edited more than 30 books on measurement and evaluation. She regularly conducts workshops and provides consulting services worldwide.
Table of Contents
Chapter 1 The Case for a Logical Approach to Analytics 1
Chapter 2 Define the Problem or Opportunity 35
Chapter 3 Review the Research and Set the Hypothesis 55
Chapter 4 Achieve Business Alignment 73
Chapter 5 Plan the Project 87
Chapter 6 Collect Data 103
Chapter 7 Analyze Relationships, Causation, and Attribution 139
Chapter 8 Select the Solution and Set the Objectives 171
Chapter 9 Calculate Monetary Benefits, Costs, and ROI 187
Chapter 10 Forecast, Predict, Test, and Optimize 223
Chapter 11 Report Results and Drive Improvement 255
Chapter 12 Manage and Sustain the Human Capital Analytics Pratice 273