This project will analyze Electronic Gaming Machine (EGM) occupancy patterns and player behavior using anonymous spin-level data to optimize machine usage and support data-driven decision-making. By examining how players select machines based on availability, time of day, and traffic conditions, the research will generate actionable insights for International Game Technology (IGT) and its casino partners. […]
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