Data Analytics Applications in Gaming and Entertainment
Edited by: Günter Wallner
The last decade has witnessed the rise of big data in game development. In the wake of this process, data mining and analytics have received growing interest and importance in game production to process and draw actionable insights from large volumes of player-related data in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation. Written by subject experts from academia and industry, this edited volume seeks to provide a comprehensive overview of data analytics applications pertaining to various aspects of game production. By covering a wide range of topics as well as basic and advanced data analytics and visualization techniques, the book will be useful to readers with a wide range of backgrounds and interests. Topics covered include: player profiling, customer life-time value and churn prediction, matchmaking, analysis of player communities and the associated possibilities and challenges, visualization of in-game data, and practical advice on communicating analytic results to non-experts.
Edited by: Günter Wallner
The last decade has witnessed the rise of big data in game development. In the wake of this process, data mining and analytics have received growing interest and importance in game production to process and draw actionable insights from large volumes of player-related data in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation. Written by subject experts from academia and industry, this edited volume seeks to provide a comprehensive overview of data analytics applications pertaining to various aspects of game production. By covering a wide range of topics as well as basic and advanced data analytics and visualization techniques, the book will be useful to readers with a wide range of backgrounds and interests. Topics covered include: player profiling, customer life-time value and churn prediction, matchmaking, analysis of player communities and the associated possibilities and challenges, visualization of in-game data, and practical advice on communicating analytic results to non-experts.
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