Data Analysis for Workforce Management

Stop managing schedules and staffing based on guesswork. Learn how to harness data to make precise, effective decisions that improve performance and balance workloads for your team. This course provides a practical foundation in data analysis specifically for workforce management (WFM). You will move from simply collecting data to interpreting it, uncovering trends in performance, accurately forecasting demand, and creating optimized schedules that meet business goals. What you'll learn: - Master core WFM metrics like service level, occupancy, shrinkage, and adherence. - Learn to collect, clean, and prepare operational data for analysis using common spreadsheet functions. - Build simple forecasting models to predict staffing needs and workload volumes. - Apply data analysis to create efficient and fair staff schedules. - Analyze performance data to identify root causes of issues and opportunities for coaching. - Understand how to adapt WFM data principles for remote and hybrid work environments. - Practice creating clear and insightful WFM reports for stakeholders. The course starts with the fundamental principles of WFM and key performance indicators, then progresses to hands-on techniques for data analysis, forecasting, and reporting. This course is designed for beginners. No prior experience in data analysis or workforce management is required to get started. Begin your journey to becoming a data-driven workforce manager today.