HR Analytics Using Data Driving Results

Course details

This program includes the following modules:
Module 1: Introduction
SHRM Information
Ice Breaker Activity
 
Module 2: Introduction to HR Analytics: An Overview
Differentiate between HR metrics and HR analytics
Recall the purpose of metrics
List the benefits of using HR analytics for organizational decisions
Summarize current trends in human resources analytics
Distinguish between human capital metrics and human resource metrics
Differentiate between the various terminologies used in analytics (, data analytics, business analytics, workforce analytics, people analytics, HR analytics, etc.)

Module 3: What to Measure and How to Collect Data
Describe the process for determining measurement and data requirements
List methods used for capturing data
Describe how to determine accuracy of data
Identify metrics of interest when collecting data (, key performance indicators (KPIs))
Differentiate between various research methods

Module 4: Analyzing Data and Interpreting Results
Identify the proper method to analyze data (, needs analysis, cost-benefit analysis, job analysis, survey analysis, etc.)
Outline the processes for conducting analysis
Provide organizational examples of predictive software
Discuss the technical considerations when selecting an analytics program/system/software and completing analysis
Provide an overview of commonly used methods for visualizing data though the use of scatter plots, trend lines, and advanced data mining and modeling techniques

Module 5: Communicating and Presenting Findings
Interpret analytical results
Use data to make organizational recommendations
Identify effective data presentation methods (, scorecards)
Prepare a presentation of results
Present results to effectively communicate information to organizational stakeholders decision-makers
Provide tools for monitoring and tracking data of interest over time (, dashboards)

Module 6: Conclusion/Wrap-Up Updated on 03 November, 2019