This article informs about a study whose purpose was to establish data analysis strategies of the impacts of knowledge on technological management capabilities, according to the technological management model proposed by Saenz et al. (2017). A survey was applied in which 152 accredited calibration service providers in Bogotá participated, with a confidence level of 95% and a margin of error of 5%. A sample size of 110 entities with their respective profiles was obtained. One of the instruments used to develop the study was the application of data analysis strategies to adequately identify the variables that have relation and effect on the impacts of knowledge on technological management capabilities. The results show how the analysis criteria were defined and show how the correlational analysis of the variables for the "human dimension" and "organizational dimension" were developed, in relation to the capacity to manage the knowledge of the model. Therefore, it is concluded that the data analysis strategies of the impacts of knowledge on technological management capabilities have a positive influence on the development of the input analysis of the variables of the technological management model, in order to be able to make the subsequent simulation and evaluation in dynamic environments.