Citas bibligráficas
Meoño, L., Mejia, R. (2024). Plataforma tecnológica para mejorar la toma de decisiones en una empresa de la industria de cosméticos [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/675630
Meoño, L., Mejia, R. Plataforma tecnológica para mejorar la toma de decisiones en una empresa de la industria de cosméticos [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/675630
@misc{renati/507956,
title = "Plataforma tecnológica para mejorar la toma de decisiones en una empresa de la industria de cosméticos",
author = "Mejia Romero, Ronald",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
In the last decade, data has become a major asset that benefits organizations, so it has to be analyzed and studied for better decision making, creating organizational strategies, planning current and future mechanisms to increase sales and retain customers. In the cosmetics marketing sector, an increase in sales and consumer orders has been identified in recent months. Likewise, in the execution of internal billing processes, there are deficiencies in execution times, so that Sales Directors, Zonal and Regional Managers have been affected in their daily activities for decision making. For this reason, the implementation of a technological platform has been proposed to improve the execution times of the billing process, while implementing opportunities for improvement and ensuring the quality of the data for the company's employees to perform their analysis efficiently. For the development of the platform, the architecture of a Data Warehouse was designed in Snowflake based on the Amazon Web Service cloud, integrated with PostgreSQL and Javascript frameworks for coding. Likewise, the implementation was carried out following the agile Scrum methodology. After implementing the platform, it was possible to improve execution times and data availability in a timely manner, which satisfied the users who analyze the data, leading the company to establish strategic objectives in the short and long term
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