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In the last five years, data analysis, A/B testing and predictive modeling have transitioned from an afterthought to a given in the game industry. Data can be invaluable in understanding the player and making decisions, but it can just as easily lead us astray. This talk exposes common mistakes and pitfalls, both technical and emotional, as well as provide practical guidance on how to improve the rigorousness of your tests and the quality of your data.
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