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  • Day 1
    August 20, 2018
  • Day 2
    August 21, 2018
  • 9 AM

    Introduction

    - SHRM Information
    - Ice Breaker Activity

    9:15 AM

    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.)

    11:15 AM

    Tea Break

    11:30 AM

    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

    12:30 PM

    Lunch Break

    1 PM

    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

    3:15 PM

    Tea Break

    3:30 PM

    5:30 PM

    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 tech...
    - 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
    view more
  • 9 AM

    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 tech...
    - 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
    view more

    10:45 AM

    Tea Break

    11 AM

    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)

    12:30 PM

    Lunch Break

    1 PM

    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)

    3:30 PM

    Tea Break

    3:45 PM

    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)

    5 PM

    5:30 PM

    Conclusion and Wrap Up

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