With more comprehensive uses of data science in the video games industry, companies are able to provide a better, more engaging and personalized experience for customers. Games are inherently complex - they are essentially virtual worlds where people can interact with each other. Every design has a direct intention and consequence. Because virtual worlds are so complex, the better we get at understanding these relationships with the use of data science, the more we are able to grow our business. Case studies will be shared to illustrate how Kabam utilizes data science and applies it to understanding its portfolio of games and millions of customers.
Using Data Science to Make Fun Games
Kenneth Yu is the head of business intelligence at Kabam, the leader in the western world for free-to-play core games. Yu joined Kabam in December 2011 and oversees the analytics and data science teams, focusing on advancing data-driven approaches to improve the performance of key business drivers. Prior to Kabam, Yu was a product engineer in the Spansion unit at Advanced Micro Devices Inc., where he developed analytics solutions and innovated on data visualization and performance modeling techniques in the semiconductor R&D domain. He received a B.S. in electrical engineering and computer science from UC Berkeley.