The thesis project, developed in partnership with Capgemini Italia S.p.A., had the goal to highlight the relevance of Key Performance Indicators (KPIs) to the monitoring and control phase of industrial processes and to search for potential areas of improvement, by considering a simulated Capgemini client (an engineering and manufacturing company) standard process monitoring method for the purpose of this paper. The paper focuses on one hypothetical work perimeter, defined as Services (S), which is linked to the management of engineering technical information. Key Performance Indicators data and some of their structures, described in this paper, have been modified to respect potential confidential constraints, but in such a way that in some cases the original trend has been maintained while in others, new trends have been simulated to test the sensitivity of the statistics implementation described in the improvement proposal, which is part of this thesis.