In this chapter we apply the concepts studied in previous chapters to two domains: air traffic and maritime mobility. Section 5.1 dives into air traffic analysis. Air traffic control (ATC) aims at maximizing safety and capacity of flight activity. Visualization and analysis tools are constantly being developed to that end. In this chapter, we study the main tasks of ATC practitioners and show how data science and, in particular, mobility databases, are helping air controllers to improve the capacity of air routes and airports. The maritime environment, covered in Sect. 5.2, is a fertile field for mobility data science. As in the case of air traffic, this represents open movement, since it is not constrained by a network, like in urban mobility studied in the previous chapter, although there are strict rules, and objects should follow certain routes. There is also a wide variety of ships of different kinds: ferry transport, cruising ships, navy ships, to mention a few. Each kind of ship has a particular behavior. Thanks to the various real-time positioning systems for tracking vessel movements, huge amounts of data are available to be analyzed with the machinery we present in this book. For both use cases, we complete the analysis by building dashboards based on raw and mobility data for helping analysts to take timely and more accurate decisions. For this, we use Grafana, a popular open-source tool for producing analytical dashboards and displaying time series data.