Human Resources Analytics

Human Resources Analytics training provided by University of California, Irvine

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Created by University of California, Irvine Staff Last updated Sat, 05-Mar-2022 English


Human Resources Analytics free videos and free material uploaded by University of California, Irvine Staff .

Syllabus / What will i learn?

HR Metrics Life Cycle

We will begin this course by exploring the Human Resources Metric Life Cycle, which will include an analysis of the employee life cycle, HR agility, and the various types of metrics used to measure and drive business outcomes.

Staffing, Training and Compensation

In this module, we dive deep into three different types of metrics - staffing, training, and rewards metrics. We explore the various HR functions and the role these functions play in the success of recruiting, hiring, and retaining quality hires. We also look at the key metrics that serve as business drivers for all three types of metrics.

Employee Relations and the Overall Human Resources Organization

As a continuation of the previous module, we now explore employee relations metrics and the HR organization as a whole. We will also identify strategies to track measures and report on those outcomes.

Building Your Case and Creating Action

During this final module, we will explore using the data gathered to effectively create and influence the process of strategic business planning.



Curriculum for this course
0 Lessons 00:00:00 Hours
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Description

With advances in technology and cloud computing, there are now numerous data sources available to guide decision-making and drive organizational success. Harvesting the right kind of data requires that HR teams possess strong analytical skills; high-performing HR teams know that their function is to leverage data as a “decision science” by identifying metrics and data sources that deliver organizational insights. In order to do so, HR must ensure that metrics and measures are used effectively to achieve strategic goals. This course focuses on identifying effective data sources, developing meaningful metrics, designing long-term measures, and applying results in support of organizational strategy and tactics.

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