Description
This course provides an overview of recruitment analytics and the benefits of a data-driven approach to recruitment. You will learn to identify and calculate common recruiting metrics, like time to fill, cost per hire, and source conversion. You will also see how data can be gathered, visually displayed, and analyzed to gain an understanding of the recruitment process and to make improvements when necessary. The predictive analytics lifecycle will also be discussed, along with the way that data patterns over time can be used to make predictions about sourcing, performance, and attrition. And, we will look at the ways that applicant tracking systems (ATSs) support the analytics process by gathering data and sharing key recruitment metrics in real time.
credits
- IACET CEUs: 0.4
- SHRM PDCs: 4
features
- Mobile-friendly
- Real-world case studies
- Fully accessible
- Games & Flashcards
- Expert-supported
- Video content
learning Outcomes
- Identify common recruiting metrics
- Explain a data-driven approach to recruitment
- Describe the predictive analytics lifecycle
- Analyze the use of analytics in predicting performance and attrition
- Explain how to use analytics to identify patterns, locate the most effective sourcing channels, and minimize costs associated with the hiring process
- Cite examples involving an applicant tracking system (ATS)