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  • Day 1
    February 6, 2018
  • Day 2
    February 7, 2018

  • 08:30

    Introduction

    - SHRM Information
    - Ice Breaker Activity

    08:45

    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.)

    10:45

    Tea Break

    11:00

    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

    12:00

    Lunch Break

    12:30

    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

    14:45

    Tea Break

    15:00

    17:00

    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

  • 08:30

    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

    10:15

    Tea Break

    10:30

    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)

    12:00

    Lunch Break

    12:30

    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)

    15:00

    Tea Break

    15:15

    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)

    16:30

    17:00

    Conclusion and Wrap Up

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