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IHRIM's HR Metrics & Workforce Analytics Basics

Course Overview
This course is designed for individuals that are new to data analysis, HR metrics or both. This full day program begins with an overview of the field of HR Metrics and Workforce Analytics and provides training in fundamental data analytic techniques, data interpretation, and the fundamentals of reporting data to decision makers.

What Attendees Will Learn
The purpose for conducting HR Metrics and Analytics in organizations is to improve decision making and how to develop HR metrics and analytics systems with that purpose in mind.

How to conduct basic statistical analyses to report the current conditions and trends in your organization.

Key metrics that can be used to evaluate the staffing levels (e.g., head count versus plan, bench strength, turnover), staffing and development effectiveness (e.g., quality of applicants attracted, offer acceptance, regret turnover, employee performance, training effectiveness).

Data reporting techniques that allow you to communicate intended messages to target audiences most effectively.

Who Gains the Most from Attending?
Anyone in your organization that is new to the area of HR Metrics and Workforce Analytics or simply wants to strengthen their foundations
Individuals that have primary responsibility for the development and deployment of new HR metrics in your organization
Those individual that are responsible for the ongoing reporting of HR metrics to organization decision makers

Course Outline
I. Introduction to HR Metrics and Workforce Analytics past and present

II. The reason for conducting HR Metrics and Workforce Analytics is to improve decision-making—nothing more nothing less.

III. Basic data analytic techniques using EXCEL—what are they, how do we do them, and why do we use them?

IV. HR Metrics—common and not so common metrics for evaluating the effectiveness of human capital in organizations

V. Workforce Analytics—putting HR metrics and data analysis to work.

VI. Reporting Keys—data reporting techniques to get the intended messages to decision makers when they need them in ways they will understand.

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