Preventive controlling of product development projects by aid of predictive analytics - identifying hot spots within the deviation probability map

This paper presents a concept to anticipate deviations from the target process and thus inefficiencies within development projects by aid of predictive analytics. It is stated that predictive analytics approaches can be adapted to predict deviations in development projects, comparable to the anticipation of crimes. Deviations in terms of time, costs and quality are seen as a result of waste and therefore a dimension for inefficiencies. In this context the deviation probability map is introduced as a part model of the superordinate methodology allowing the intuitive identification of deviation hot spots and enhancing preventive controlling of development projects.