Theoretical win, player worth, loyalty, and resort revenue
Industry
Integrated casino resort
Rated players
12,000 loyalty members
Games
80 slot and table games
Annual gaming revenue
about $34.8M, close to three quarters of cash resort revenue
Annual comped room value
about $6.7M, roughly half of all occupied-room value
Annual coin-in (handle)
about $572M, from sessions averaging around 65 minutes
Loyalty tiers
5 (Ruby to Black Card)
Dataset scope
14 Professional-tier tables
Veranthe Casino Resort is a fictional single integrated casino resort created for synthetic BI demos and training; its games, manufacturers, and players represent no real casino, brand, supplier, or person. The resort produces about $69M in gaming revenue on roughly $1.1B of coin-in, alongside cash and comped room revenue, food and beverage, a five-tier loyalty program, and a marketing-offer engine. BI builders move from coin-in, theoretical win, and hold into player worth by tier, game and manufacturer performance, floor-zone utilization, and loyalty and promotion economics.
These are the operating questions this kit is optimized to answer first.
Connect coin-in, house edge, theoretical win, actual gaming revenue, and hold over time.
Compare theoretical win, gaming revenue, and reinvestment across loyalty tiers and segments.
Rank games, categories, manufacturers, and floor zones by theoretical win and play.
Trace hotel and F&B revenue and comps alongside gaming for total resort value.
Follow promotional offers from extension through redemption by type and tier.