Metal cutting processes constitute one of the more common processes in manufacturing. This is due to its versatility in obtaining different geometries and for the dimensional precision obtained in comparison with other processes. In order to optimize these processes it is necessary to understand the behavior of all involved variables which usually require running a large number of experiments for any specific pair of tool-workpiece that is evaluated. Even when several studies are available to optimize metal cutting processes, many of them are restricted to single edge tooling processes since proper experimentation in processes like milling which involve multi-edge tooling is difficult to carry out. In this sense, it becomes convenient to develop strategies that allow an engineer to optimize milling processes for a specific pair of tool-workpiece using data obtained from turning using a similar pair. In this work, the first steps followed in the development of a methodology capable of establishing optimal cutting parameters for milling from data obtained from turning is presented were relevant variables and relations between both processes are identified and evaluated.