Daily Gaming Operations Revenue Report

Track and analyze daily gaming revenue performance across all gaming segments, focusing on table games, slots, and other gaming activities to optimize operations and identify revenue opportunities.

Report Objective

Monitor daily gaming revenue performance across all gaming segments, analyzing player behavior, game performance, and operational efficiency metrics to drive revenue optimization and enhance player experience.

Gaming Revenue by Segment

Bar chart showing revenue distribution across gaming segments

Questions to Consider:

SlotsBlackjackRouletteBaccaratPokerVideo Pokergaming_segment$0$1,000,000$2,000,000$3,000,000$4,000,000$5,000,000sum(revenue)sum(revenue)How is Gaming Revenue Distributed Across Segments?Slots continue to generate highest revenue share at 45%, followed by table games
  • Which gaming segments are driving the most revenue?

  • How has the revenue mix changed compared to previous periods?

  • Are there opportunities to optimize lower-performing segments?

  • What are the daily revenue patterns across segments?

  • How do weekday vs. weekend performances compare?

  • Are there any seasonal trends affecting revenue?

2024-12-012025-01-012025-02-01date$260,000$280,000$300,000$320,000sum(revenue) vs. gaming_segmentsum(revenue)gaming_segmentDaily Revenue Trends by Gaming SegmentWeekend revenue peaks show 30% higher activity across all segments

Game Performance Metrics

Table showing key performance metrics by game type

Questions to Consider:

game_typewin_per_unitoccupancy_rate
Slots$2,62161.3%
Blackjack$1,64162.9%
Roulette$3,05165.4%
Baccarat$93837.7%
Poker$2,31934.9%
Video Poker$80064.8%
Slots$1,62934.3%
Blackjack$98150.3%
Roulette$2,82159.9%
Baccarat$1,29647.2%
  • Which games are most efficient in terms of revenue generation?

  • How does occupancy correlate with revenue performance?

  • Are there opportunities to optimize game mix based on performance?

  • What is the relationship between occupancy and revenue generation?

  • Which games are operating most efficiently?

  • Are there opportunities for optimization in game placement?

50%100%150%200%250%sum(occupancy_rate)$1,000$2,000$3,000$4,000sum(win_per_unit)SlotsBlackjackRouletteBaccaratPokerVideo PokerWin Per Unit vs. Occupancy Rate by Game TypeHigh-stakes games show lower occupancy but higher win per unit

Player Activity and Theoretical Win

Line chart tracking player activity and theoretical win

Questions to Consider:

2024-12-012025-01-012025-02-01date$240,000$260,000$280,000$300,000$320,000actual_winactual_winTheoretical vs. Actual Win ComparisonActual win trending 14% above theoretical, indicating strong house performance
  • How does actual performance compare to theoretical expectations?

  • Are there specific days showing significant variations?

  • What factors contribute to over/under-performance vs. theoretical win?

Areas for Additional Analysis