AI and Data-Driven Decision-Making for HR
1h 37mIntermediate2024-12-12
Authors
Lou Adler
President of The Adler Group
Course details
Data is a critical part of HR responsibilities, but how do you know you’re getting the most out of it and using it to make effective decisions? Join instructor Lou Adler as he reveals how to use data visualization tools to review data and draw insights and how to perform key tasks with inferential statistics and A/B testing. Along the way, gather insights drawn from real-world case studies on using AI to address issues with turnover, employee engagement, workforce planning, and onboarding. A good fit for anyone working in HR, this course is specifically targeted at experienced strategic HR professionals.
Skills covered
HR AdministrationDecision-MakingBusiness AnalyticsArtificial Intelligence FoundationsHuman ResourcesArtificial Intelligence (AI)Data ScienceProfessional DevelopmentLeadership and ManagementDeep Dive (X:Y)
Concepts
Introduction
- Evidence-based decision-making for HR
The Importance of Data and Evidence in Making Critical Decisions
- Transforming HR with data analytics
- Effective problem-solving techniques
- Using the sample dataset
- Diving into the HR data, head first
- Statistics - Correlation and regression analysis
Working with Data Visualization Tools
- Seeing is believing - The importance of data visualization
- Employee charts and dashboards explored
- Use decision trees to predict the future
Inferential Statistics
- Predicting the future with data from the past
- The chi-squared test to understand relationships
- Use the t-test to understand differences between two groups
- Use ANOVA to understand the differences in three or more groups
- Summary and Cox regression model to predict new hire turnover
Think Like a CFO
- Using ROI to explain and convince
- Everyone is billable
- Making $1 million hiring decisions
Root Cause and Validation
- HR data benchmarking
- A B testing HR data or A B testing and control groups
- Using AI to accelerate HR data knowledge
Case Study - Predicting Turnover Using the Cox Regression Model
- Case study - Predicting turnover with control group testing
- Data-driven insights from Piyush Mathur on talent retention
Case Study - Using Workforce Planning to Meet Production Demands
- Case study - Using workforce planning to solve a manufacturing labor shortage
- AI-driven strategies for employee retention from Lydia Wu
Case Study - Using Fishbone Analysis to Streamline the Onboarding Process
- Case study - Fishbone analysis and Lean Six Sigma
- Data-driven insights on rapid growth from Christy Spilka
Conclusion
- Data storytelling in HR - Driving change with insights