Examinando por Materia "Modelo predictivo"
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Ítem Diseño de un modelo predictivo a partir de variables cuantitativas y cualitativas para implementarlo en medios digitales(Universidad EAFIT, 2018-12-11) Taborda Yepes, Adriana María; Monroy Osorio, Juan Carlos; Giraldo Hernández, Gina MaríaThe recommendation system presented in this Undergraduate Thesis contains within itself the statistical analysis of the company's and users' references, in order to finally launch a matrix of distances, that will allow offering Executives selling the brand by catalog, products having a high probability of being purchased, based on their purchase history or preferences; however, the added value lies in the knowledge being placed on it when implemented in the most important places on the website according to Customer Journey, since it is developed according to the best practices found in Sirius usability model and has supported decisions of the way of communication, including photography, with a serious eye tracking and focus group process through the cognitive tour. The aforementioned will materialize in two very clear strategies within the web page, "Recommended for you and your clients" and "Other Executives also purchased" with which it can be concluded that the Undergraduate Thesis fulfilled the objective of grounding all decisions in quantitative and qualitative variables, but above all, it was a research process based on the magic of data as it is posed by the very important concept of database marketing.Ítem Modelo predictivo de insolvencia empresarial para las pymes en Colombia(Universidad EAFIT, 2024) Castro Espitia, Camilo; Martínez Vargas, Juan David; Sepúlveda Cano, Lina MaríaBusiness insolvency has an economic impact on the affected company and, directly and indirectly, on its suppliers of goods and services. This ends up affecting the general population, who are the consumers of these goods and services. Therefore, it is important to analyze and study the possible factors that lead a company to enter a situation of economic insolvency. In accordance with the above, the objective of this work is to predict business insolvency in the Colombian context for SMEs. Likewise, use will be made of the financial data available from the Superintendency of Companies in the year 2021 and the companies that entered into a situation of economic insolvency in the year 2023. In this way, through financial indicators, it will be possible to construct the explanatory variables. of economic insolvency and achieve a predictive model of economic insolvency. This work is approached as follows: first, information is extracted from the Superintendency of Companies for SMEs in 2021 and companies that entered economic insolvency in 2023 to obtain our objective variable. Then, based on the data obtained, the financial ratios necessary for this study are calculated, using the financial statements of these companies corresponding to the year 2021. Next, the exploratory data analysis is carried out to obtain a broader knowledge of the set. of data and analyze correlation issues between variables, among other aspects. Finally, several machine learning models are designed to determine which one is most appropriate for the case studyÍtem Towards a method to predict possible obstructions in a sewage system: a case study applied in the Aburrá Valley, Colombia(Universidad EAFIT, 2022) Valderrama Laverde, Diego Andrés; Tabares Betancur, Marta Silvia