Analytical Case Study of Casino and Resort
- 23m
- Pedro Desouza, Wei Lin, William Schmarzo
- EMC
- 2015
This article considers the application of big data and data science to real-time player marketing and casino floor management in the casino gaming industry. The article illustrates how using real-time analytics to manage each player’s trip can increase estimated casino profitability and improve the player relationship; the article highlights how real-time analysis can improve casino profitability by delivering player real-time insights to front-line employees and management. Other findings indicate that proactively managing player floor navigation could increase player gaming rates for prime players and upgrade middle-tier players to higher-volume betting tiers.
In this Book
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Analytical Case Study of Casino and Resort
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Overview
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Introduction
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Casino Data Profiling
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Player Tier Duration Analysis
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Tier 4 Clustering Analysis for Players and Players’ Gaming Selection
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Tier 4 Sample Player Analysis and Simulation
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Player K Concentration Game Play Analysis
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Player K Exploration Game Play Simulation
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Player K Time Series Analysis
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Casino Front-line Floor Management Approach for Player K
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Conclusion
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Reference
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