Análisis e implementación de arquitectura para monitoreo de uso de tableros en QuickSight AWS. Caso de estudio - BlackBoard Data

Abstract

The outstanding surge of EdTech products boosted by the technology available, the world pandemic, and a change of paradigm from traditional education, have brought tons of data to be processed, filtered, and transformed. However, there is a lack of analysis about the usage that users (clients) made of learning analytics products, which means, EdTech companies are focusing on the analytics products but have set aside the monitoring of their product effectiveness and real adoption. This project presents the implementation of an ETL architecture adjusted for monitoring the usage of analytics reports applied in a case study in an EdTech company. The process takes data and metadata from interaction with Quicksight dashboards and presents the information in a new dashboard with data visualizations, going through three different stages. This implementation is intended to present information about dashboard usage and provide a tool to improve operational efficiency based on tracking data.