Abstract : Given the great progress that ERP (Enterprise Resource Planning) have had worldwide, in this article the factors that affect the success in the implementation of ERP in metal mining companies in the Atacama Region are determined. Mining activity is one of the most relevant in this area, and in Chile in general, which arouses interest in analyzing technological adoptions in this industry. From the literature review, 8 variables are extracted that determine the success in the implementation of the ERP, with them, 12 companies in the metal mining sector are surveyed. Through the Factor analysis technique and with the use of the statistical software "Statgraphics", 4 factors were obtained that group the variables and explain the success in the implementation of ERP. Next, the regression model selection method is applied in the same software to obtain the factors with the minimum residual error and reduce the number of coefficients. AIC, HQC, SBIC Information Criteria, the adjusted coefficient of determination R squared, Mallows’s Cp and MSE are used, all these optimization criteria match, obtaining a significant adjustment value in the model, ultimately leaving 3 factors, defined as; “Quality of the business management system”, “reinvention” and “Business plan”. Finally, in this industry, the factor analysis concludes that the model determines the success in the implementation of an ERP system with an adjusted R squared of 82.4% and the regression analysis concludes that it does so in 86.4%.