Desarrollo de un Algoritmo Automatizado para la Generación de Reportes de Ventas en la Escuela de Gastronomía El Gran Chef de Villavicencio a través del lenguaje de programación PYTHON.
| dc.contributor.advisor | López Beltrán, Nathalí | |
| dc.contributor.author | Paez Muñoz, Carlos Alejandro | |
| dc.contributor.corporatename | Universidad Santo Tomas | |
| dc.contributor.cvlac | https://scienti.minciencias.gov.co/cvlac/EnRecursoHumano/query.do | |
| dc.contributor.googlescholar | https://scholar.google.com/citations?view_op=new_profile&hl=es | |
| dc.contributor.gruplac | https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947 | |
| dc.contributor.orcid | https://orcid.org/0009-0006-9828-3556 | |
| dc.date.accessioned | 2025-08-19T14:39:23Z | |
| dc.date.available | 2025-08-19T14:39:23Z | |
| dc.date.issued | 2025-06-11 | |
| dc.description | La Escuela de Gastronomía El Gran Chef, ubicada en Villavicencio, ha evidenciado dificultades en la gestión de su información financiera, debido a que los reportes de ventas se realizaban de forma manual. Este proceso implicaba largos tiempos de ejecución, una alta carga operativa y una considerable probabilidad de errores humanos, lo que afectaba la toma de decisiones estratégicas y la eficiencia administrativa. Frente a esta problemática, se propuso el desarrollo de un algoritmo automatizado para la generación de reportes de ventas, utilizando el lenguaje de programación Python como herramienta base. El objetivo general del proyecto consistió en diseñar e implementar una solución tecnológica que permitiera procesar, analizar y visualizar los datos financieros de manera precisa, rápida y en tiempo real. Para ello, se adoptó una metodología de tipo observacional y aplicativo, que incluyó la recolección de datos históricos, el diseño del flujo lógico del algoritmo, la construcción del código en Google Colab, y la validación mediante pruebas con información real suministrada por la institución. Los resultados evidencian una reducción del tiempo de generación de reportes de más del 85 %, así como una mejora sustancial en la precisión de los datos y en la visualización de indicadores clave. Además, se elaboró un manual de usuario que permitió capacitar al personal administrativo, garantizando la apropiación efectiva del sistema y su sostenibilidad. Esta propuesta demuestra el potencial de la automatización basada en ciencia de datos para fortalecer la gestión financiera en instituciones educativas. | |
| dc.description.abstract | The El Gran Chef Culinary School, located in Villavicencio, has experienced difficulties in managing its financial information due to the manual generation of sales reports. This process involved long execution times, a high administrative workload, and a significant risk of human error, ultimately affecting strategic decision-making and operational efficiency. In response to this issue, the development of an automated algorithm for generating sales reports was proposed, using the Python programming language as the primary tool. The main objective of this project was to design and implement a technological solution capable of processing, analyzing, and visualizing financial data accurately, quickly, and in real time. An observational and applicative methodology was adopted, which included the collection of historical data, the design of the algorithm's logical flow, the construction of the code in Google Colab, and validation through tests using real information provided by the institution. The results showed a reduction of more than 85% in report generation time, as well as a significant improvement in data accuracy and the visualization of key performance indicators. A user manual was also developed, allowing administrative staff to be trained and effectively adopt the system, ensuring its sustainability. This proposal demonstrates the potential of data science–driven automation to enhance financial management in educational institutions. | |
| dc.description.domain | http://www.ustavillavicencio.edu.co/home/index.php/unidades/extension-y-proyeccion/investigacion | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Paez Muñoz. (2025) Desarrollo de un Algoritmo Automatizado para la Generación de Reportes de Ventas en la Escuela de Gastronomía El Gran Chef de Villavicencio a través del lenguaje de programación PYTHON. [Trabajo de Grado, Universidad Santo Tomás]. Repositorio Institucional | |
| dc.identifier.uri | http://hdl.handle.net/11634/69079 | |
| dc.publisher.branch | CRAI-USTA Villavicencio | |
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| dc.rights | Attribution-NonCommercial-NoDerivs 2.5 Colombia | en |
| dc.rights.coar | http://purl.org/coar/access_right/c_14cb | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | |
| dc.subject.keyword | Automation | |
| dc.subject.keyword | Python | |
| dc.subject.keyword | Sales reporting | |
| dc.subject.keyword | Culinary education | |
| dc.subject.keyword | Data science | |
| dc.subject.keyword | Financial management | |
| dc.subject.lemb | Algoritmos - Programación | |
| dc.subject.lemb | Administración de ventas - Gestión | |
| dc.subject.lemb | Lenguaje para la programación de computadores - Python | |
| dc.subject.lemb | Ingeniería Industrial - Investigaciones | |
| dc.subject.lemb | Tesis y Disertaciones académicas | |
| dc.subject.proposal | Automatización | |
| dc.subject.proposal | Python | |
| dc.subject.proposal | Reportes de ventas | |
| dc.subject.proposal | Educacion gastronomica | |
| dc.subject.proposal | Ciencia de datos | |
| dc.subject.proposal | Gestion financiera | |
| dc.title | Desarrollo de un Algoritmo Automatizado para la Generación de Reportes de Ventas en la Escuela de Gastronomía El Gran Chef de Villavicencio a través del lenguaje de programación PYTHON. | |
| dc.type | bachelor thesis | |
| dc.type.category | Generación de Nuevo Conocimiento: Artículos publicados en revistas especializadas - Electrónicos |
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