AI and Data-Driven Decision-Making for HR

Contents

• Introduction Introduction

  • Evidence-based decision-making for HR

    42s
• 1. The Importance of Data and Evidence in Making Critical Decisions 1. The Importance of Data and Evidence in Making Critical Decisions

  • Transforming HR with data analytics

    3m 26s
  • Effective problem-solving techniques

    3m 43s
  • Using the sample dataset

    3m 43s
  • Diving into the HR data, head first

    3m 2s
  • Statistics: Correlation and regression analysis

    4m 15s
• 2. Working with Data Visualization Tools 2. Working with Data Visualization Tools

  • Seeing is believing: The importance of data visualization

    3m 47s
  • Employee charts and dashboards explored

    3m 51s
  • Use decision trees to predict the future

    4m 1s
• 3. Inferential Statistics 3. Inferential Statistics

  • Predicting the future with data from the past

    3m 24s
  • The chi-squared test to understand relationships

    3m 8s
  • Use the t-test to understand differences between two groups

    2m 41s
  • Use ANOVA to understand the differences in three or more groups

    2m 59s
  • Summary and Cox regression model to predict new hire turnover

    3m 38s
• 4. Think Like a CFO 4. Think Like a CFO

  • Using ROI to explain and convince

    3m 40s
  • Everyone is billable

    4m 7s
  • Making $1 million hiring decisions

    3m 38s
• 5. Root Cause and Validation 5. Root Cause and Validation

  • HR data benchmarking

    3m 45s
  • A/B testing HR data or A/B testing and control groups

    3m 20s
  • Using AI to accelerate HR data knowledge

    3m 36s
• 6. Case Study: Predicting Turnover Using the Cox Regression Model 6. Case Study: Predicting Turnover Using the Cox Regression Model

  • Case study: Predicting turnover with control group testing

    3m 18s
  • Data-driven insights from Piyush Mathur on talent retention

    6m 26s
• 7. Case Study: Using Workforce Planning to Meet Production Demands 7. Case Study: Using Workforce Planning to Meet Production Demands

  • Case study: Using workforce planning to solve a manufacturing labor shortage

    3m 59s
  • AI-driven strategies for employee retention from Lydia Wu

    6m 17s
• 8. Case Study: Using Fishbone Analysis to Streamline the Onboarding Process 8. Case Study: Using Fishbone Analysis to Streamline the Onboarding Process

  • Case study: Fishbone analysis and Lean Six Sigma

    3m 52s
  • Data-driven insights on rapid growth from Christy Spilka

    3m 39s
• Conclusion Conclusion

  • Data storytelling in HR: Driving change with insights

    1m 21s