Learn how HR Analytics leverage the power of data in order to make better informed (data-driven) workforce-related decisions. With a data-driven approach to HR, you'll be able to convincingly show business leaders the direct impact of HR processes and initiatives on business outcomes - revenue, expenses and profit, productivity, and customer satisfaction.
Many executives have identified people analytics as a key priority. Thus, in the recent years, progressive companies have been actively developing their internal HR analytics capabilities. Case studies have shown that HR analytics have been successfully used in areas such as:
Predicting turnover risks and modeling scenarios in advance to reduce the loss
Isolating the key employee experience factors for optimal job performance, engagement, and job satisfaction
Identifying the impact of talent hiring, retention and engagement
Generating predictive metrics for selecting high-performing applicants
Identifying high-value paths and leadership candidates
No prior statistical or programming knowledge is required for this course. This is designed for learners with any background.
HR executives or leaders who want to understand how to set up an HR analytics team
HR professionals responsible for establishing, leading, or managing an analytics function
HR professionals who want to expand their competencies in HR analytics
Business executives who want more from HR
Explain the rationale for HR Analytics and its importance in strategic human resource management.
Describe the 8-step approach to implementing an HR Analytics project and address potential issues for each step.
Generate and interpret basic descriptive analytics using JAMOVI (an open source software).
Generate data visualizations using Microsoft Power BI (an open source software) and generate insights from data.
1. Fundamentals of HR Analytics
Why HR Analytics?
What is HR Analytics
Overview of the 7-Step Approach to HR Analytics
Critical Success Factors
2. The 8-Step Model for Purposeful Analytics
3. Descriptive Analytics
Foundation Concepts: Data Types, Levels of Measurements, Sampling
Describing the central tendencies and dispersion
4. Using PowerBi as an HR Analytics Tool
For registration inquiries, email email@example.com.
How to access the webinar: In a separate email, you will receive the links sent via ZOOM/ECCP.
This training program can be offered for exclusive trainings. To request formal proposal, email us at firstname.lastname@example.org.