The purpose of the project was to explore whether analysis and visualization of web analytics data from AppDynamics and Google Analytics would be valuable. The main technologies utilized were Python and QlikSense. We were able to find trends within the data over time, mainly based on the work cycle and seasonal nature of the web application, and we were also able to present basic statistical findings on the users of the application. There was limited data, especially user level data, that we had access to, which made it difficult to do any advanced analytics or machine learning. Overall, we learned a lot and hope PWC finds this exploratory project useful for their future data analytic endeavors.