Introducing Clustering III: Challenges and Pitfalls

In the previous post of this series we introduced the theoretical foundations of cluster analysis and the various categories of algorithms. In this post we take a specific look at the challenges associated with running a cluster analysis on behavioral telemetry from games. Clustering behavioral data from games does not involve any unique challenges: the…

Introducing Clustering II: Clustering Algorithms

[This post was written in collaboration with Christian Bauckhage and Rafet Sifa.] Clustering is imminently useful for finding patterns in gameplay data. In this second post in the clustering series, we briefly outline several classes of algorithms and discuss the types of contexts they are useful in. Cluster algorithms can be categorized based on how the…

Visualizing Dynamic Behavior Flow

One of the most important challenges in game analytics is to take the power of quantitative analysis and place it into the hands of everyone, not just trained analysts. In this post we describe the process of developing a method for generating behavioral profiles of player, and visualize how they over time migrate between these…

Leveling Up Game Analytics: Call for contributions for the next book on game analytics

Leveling Up Game Analytics This is a call for contributions to the book Leveling Up Game Analytics. The goal of this community-driven book is to assist the game industry with building and maturing current analytics practices, via dissemination of knowledge from the people and companies who have already adopted analytics practices and to provide a…