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What Is a More Challenging Time for the Data Science Team?
Pre-launch is more challenging because you don't have a lot of data. Once the game is released there is new challenge too so you need to be sure your model was able to absorb all of that it's going to cost more money. With more data there is new behaviors that maybe you didn't catch up when you were on pre-launch but once you have everything in place the kind of issues you will have is usually easier to tackle than when you are building everything up for a scratch. How does the communication flow look like then with the creative teams how often do they update the game after that what does that process look like? It all depends on the kind of games obviously if it