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This article aims to present an analysis of the efficiency of an advanced Economic Engineering model, applied to the ISO 31000 Economic/Financial Risk Standards for the Business Unit in prospective adaptation with the Artificial Intelligence methodology in Advanced Excel. By virtue of this, an analysis of the financial variables Net Margin, Return on Capital and Return on Investment was carried out. This analysis was carried out in two periods of time. The first between the years 2005 and 2010, in which the company had not implemented the ISO 31000 Standard, and a second period, between 2011 and 2016, when the company applied the Standard. The best profitability variables analyzed in the financial programming of Business Unit. have facilitated the identification of risks through the implementation of ISO 31000 standards and their contribution to minimizing the financial risk in which it is immersed to achieve the projected results. The study revealed the high risks in the variables studied during the period in which the ISO 31000 Standard was not applied in the company, the tracks experienced substantial improvements with the implementation of this standard by the company. The application of this standard also contributes to improving the performance and reliability of the company's risk management system in order to anticipate possible losses that affect the performance or profitability in the achievement of the projected objectives, evidencing adequate knowledge management of productive companies in Santiago de Veraguas, in its management.
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