Análisis multidimensional y cuadro de mando integral de los datos meteorológicos y de la calidad del aire de Quito

This research focuses on developing a multidimensional analysis and a balanced scorecard applied to meteorological and air quality data from Quito, Ecuador, to provide a tool that allows one to visualize and understand the evolution of these data over time. This study arises from the need to analyze large volumes of environmental data, which are essential for decision-making on public health and environmental management issues in the city. To achieve this objective, tools such as R Studio, Power BI, and Geographic Information Systems (GIS) were used, facilitating both the processing and visualization of air quality and meteorological data. The methodology used was CRISP-DM (Cross Industry Standard Process for Data Mining), which has six phases that allow for structuring the data analysis process and ensuring the quality of the information. Evaluating the quality of the data, the criteria of completeness, credibility, and precision were used, following the guidelines of the ISO/IEC 25012 standard, using the Talend Data Quality tool. Regarding the results obtained, the data quality analysis showed 100% completeness, 100% credibility, and 100% accuracy in the data tables evaluated. These results confirm that the data used meet the required quality standards, guaranteeing the reliability of the analysis and conclusions of the study. The final product of this research is a multidimensional analysis model and a balanced scorecard that allows users to interactively and visually access crucial information on air quality and meteorological conditions in Quito, thus supporting decision-making based on high-quality data.

• 1. Verfasser: Cueva Bonilla, Kevin David (author)
• Format: bachelorThesis
• Sprache: spa
• Veröffentlicht: 2025
• Schlagworte: Sistema Multidimensional; Cuadro de Mando; Calidad de Datos; CRISP-DM
• Online Zugang: http://dspace.unach.edu.ec/handle/51000/14651