HR Analytics: UHR Analytics: UHR Analytics: UHR Analytics: Using Data to Drive Resultssing Data to Drive Resultssing Data to Drive Resultssing Data to Drive Results

Intended Intended Intended Intended AudienceAudienceAudienceAudience

Senior-level

Delivery Delivery Delivery Delivery OptionsOptionsOptionsOptions 2-Day In-Person (Onsite or Seminar)

HRHRHRHR CompetenciesCompetenciesCompetenciesCompetencies

• Communication

• Critical Evaluation

• HR Expertise

(HR Knowledge)

RecertificationRecertificationRecertificationRecertification* • SHRM: 14.75 PDCs

Who Should Attend?Who Should Attend?Who Should Attend?Who Should Attend? Individuals working to understand and analyze data in order to make data-driven recommendations and decisions. Program Program Program Program Overview Overview Overview Overview Identify the varying types of data systems and analytics techniques available today. Explore how to

gather and analyze pertinent HR metrics and how to properly communicate findings to drive

organizational decisions. Learn how to effectively use analytics to support your organization’s goals

and provide decision-makers with greater insight into workforce-related considerations.

Program Program Program Program ObjectivesObjectivesObjectivesObjectives This program is designed to provide you with the knowledge and skills necessary to:

• Explain why data is important for driving organizational decisions • Demonstrate basic methods for reading and presenting data

• Identify tools used to interpret data and support HR decisions

• Prepare results to effectively communicate information to organizational management

• Coach other HR professionals in your organization in the use of analytics for business

decisions

Program ModulesProgram ModulesProgram ModulesProgram Modules This program includes the following modules:

• Module 1Module 1Module 1Module 1: : : : IntroductionIntroductionIntroductionIntroduction

o SHRM Information

o Ice Breaker Activity

• Module 2Module 2Module 2Module 2:::: Introduction to HR AnalyticsIntroduction to HR AnalyticsIntroduction to HR AnalyticsIntroduction to HR Analytics: An: An: An: An OverviewOverviewOverviewOverview

o Differentiate between HR metrics and HR analytics o Recall the purpose of metrics o List the benefits of using HR analytics for organizational decisions

o Summarize current trends in human resources analytics o Distinguish between human capital metrics and human resource metrics o Differentiate between the various terminologies used in analytics (i.e., data analytics,

business analytics, workforce analytics, people analytics, HR analytics, etc.)

• Module 3Module 3Module 3Module 3:::: What to Measure and How to Collect DataWhat to Measure and How to Collect DataWhat to Measure and How to Collect DataWhat to Measure and How to Collect Data

o Describe the process for determining measurement and data requirements o List methods used for capturing data o Describe how to determine accuracy of data

o Identify metrics of interest when collecting data (i.e., key performance indicators (KPIs))

o Differentiate between various research methods

• Module 4Module 4Module 4Module 4:::: Analyzing Data and Interpreting ResultsAnalyzing Data and Interpreting ResultsAnalyzing Data and Interpreting ResultsAnalyzing Data and Interpreting Results

o Identify the proper method to analyze data (i.e., needs analysis, cost-benefit analysis, job analysis, survey analysis, etc.)

o Outline the processes for conducting analysis o Provide organizational examples of predictive software

o Discuss the technical considerations when selecting an analytics program/system/software and completing analysis

o 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 5Module 5Module 5Module 5:::: Communicating and Presenting FindingsCommunicating and Presenting FindingsCommunicating and Presenting FindingsCommunicating and Presenting Findings

o Interpret analytical results o Use data to make organizational recommendations o Identify effective data presentation methods (e.g.., scorecards) o Prepare a presentation of results

o Present results to effectively communicate information to organizational stakeholders decision-makers

o Provide tools for monitoring and tracking data of interest over time (e.g., dashboards)

• MMMModule 6odule 6odule 6odule 6:::: Conclusion/Wrap-Up