Modeling a Business Intelligence Web Module based on Association Rules to commercialize ornamental plants

Abstract

In 2018, the production of ornamental plants in Mexico generated 6.097 billion pesos, representing 86% of the country's production in 12 states. In 2020, its commercialization decreased by 30% due to COVID-19, affecting micro and small businesses in this sector, recovering at the end of the same year and identifying the need to focus and understand the commercialization of ornamental plant species based on supply and demand. Therefore, the modeling of a Business Intelligence Web module based on association rules for the commercialization of ornamental plants is proposed, based on an analysis of the available Data Mining techniques, in the posing of objective questions, as well as the architecture and behavior of the module. The modeling was done by using the spiral model for software development. This allows us to contribute with an innovative solution, based on a low-cost digital infrastructure by implementing free and open-source specialized software; which will provide flexibility, agility and performance.