Desarrollo e implementación de modelo centralizado de datos para la toma de decisiones en la cadena hotelera movich

Abstract

This thesis presents the design and implementation of a centralized data architecture for the Movich hotel chain. The main objective is to integrate and structure data from various sources, such as Oracle, SAP, Simphony, and C-liquida, to improve strategic decision-making based on business intelligence (BI). The methodology used includes experimental and descriptive research, allowing for the observation and documentation of current data management processes and the evaluation of the impact of proposed solutions. The results include the definition of business objectives, the design of a technological architecture using tools such as Microsoft Fabric, Azure Synapse Analytics, and Power BI, and the development of an ETL (Extract, Transform, Load) model for data integration. The implementation of this architecture has provided a complete and coherent view of information, improving decision-making and reducing operational costs