Analyzing Employee Data for Workload and Automation Potential

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This presentation summarizes a workforce analytics dataset covering 290 staff-role records across 26 columns, focusing on identity, organizational placement, task functions, automation potential, RACI responsibility, skills, workload, capacity, risk, and priority. It highlights how structured staff and task data can support analysis of automation opportunities, ownership gaps, and workload patterns, while noting lookup limitations and model-estimated metrics for informed decision-making.