Video games are big business today: Electronic Arts (EA) generated more than 4 billion dollars in revenue last year, and they're not even the biggest player on the block. In addition to big bucks, video games also generate Big Data: 50 terabytes per day at EA alone. So there's an obvious need to apply predictive analytics to these massive streams to support revenue growth.
That's why if you're interested in how predictive analytics is used in the video games industry, or are just a gamer who wants to understand how games are changing because of analytics, you should check out Thursday's webinar presented by Bill Grasso. In the webinar, Bill will share his experiences working on gaming analytics over the past six years, and describe how gaming companies use predictive analytics to:
- Identify, predict and intervene when "noobs" and "veterans" are about to give up on a title
- Model the dynamics of a population of players in a gaming community
- Analyze the games themselves (for example, where players are getting stuck in the game)
- Detect fraud like gold-farming within games
- Identify and nurture the highest-spending consumers of in-app purchases
Bill will introduce the R language as the right tool for these applications. It provides the data transformations, exploratory data analysis and statistical techniques (like supervised and unsupervised learning, Cox survival models and Weibull models) that underpin these applications.
The webinar will take place on Thursday (June 13) at 10AM Pacific time. You can register (free!) at the link below for the live online session, and also to be notified when the replay is available for streaming.
Revolution Analytics webinars: Knowing How People are Playing Your Game Gives You the Winning Hand