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Introduction

- SHRM Information
- Ice Breaker Activity

Introduction to HR Analytics: An Overview

- Differentiate between HR metrics and HR analytics
- Explain the concept of advanced analytics
- 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 (i.e., data analytics, business analytics, workforce analytics, people analytics, HR analytics, etc.)

Tea Break
What to Measure and How to Collect Data • Part 1

- 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 (i.e. key performance indicators (KPIs)
- Differentiate between various research methods

Lunch Break
What to Measure and How to Collect Data • Part 2

- 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 (i.e. key performance indicators (KPIs)
- Differentiate between various research methods

Tea Break
Analyzing Data and Interpreting Results • Part 1

- Identify the proper method to analyze data (i.e., 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

Analyzing Data and Interpreting Results • Part 2

- Identify the proper method to analyze data (i.e., 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

Tea Break
Communicating and Presenting Findings • Part 1

- Interpret analytical results
- Use data to make organizational recommendations
- Identify effective data presentation methods (e.g. scorecards)
- Prepare a presentation of results
- Present results to effectively communicate information to organizational stakeholders and decision-makers
- Provide tools for monitoring and tracking data of interest over time (e.g. dashboards)

Lunch Break
Communicating and Presenting Findings • Part 2

- Interpret analytical results
- Use data to make organizational recommendations
- Identify effective data presentation methods (e.g. scorecards)
- Prepare a presentation of results
- Present results to effectively communicate information to organizational stakeholders and decision-makers
- Provide tools for monitoring and tracking data of interest over time (e.g. dashboards)

Tea Break
Communicating and Presenting Findings • Part 3

- Interpret analytical results
- Use data to make organizational recommendations
- Identify effective data presentation methods (e.g. scorecards)
- Prepare a presentation of results
- Present results to effectively communicate information to organizational stakeholders and decision-makers
- Provide tools for monitoring and tracking data of interest over time (e.g. dashboards)

Conclusion and Wrap Up