discuss how predictive analytics potentially could play a role in successful launch in those two examples. and what analytics could help to avoid failure. For one of the examples you may use a real analytics cases (if you will be able to find them). For at least one example (or both) come up with the concept of a predictive analytics study, that may benefit the case. Be very specific by explaining what data can be used, where or how it can be obtained, what research question(s) can be used, and what predictive analytics methods can provide answers to those questions. For example, to predict how to launch Google Glass successfully, Google may collect data on the smartphone app use, identify clusters of users who are often try new apps, and then link it to the problem domains that may need hands free interfaces by building a predictive (e.g. decision tree) model of using certain apps while walking or driving with an extensive screen use