Bibliographic citations
Romero, C., Valer, M. (2023). Dashboard de inteligencia de negocios para mejorar el seguimiento de la implementación del Sistema de Control Interno [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/670279
Romero, C., Valer, M. Dashboard de inteligencia de negocios para mejorar el seguimiento de la implementación del Sistema de Control Interno [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/670279
@misc{renati/409852,
title = "Dashboard de inteligencia de negocios para mejorar el seguimiento de la implementación del Sistema de Control Interno",
author = "Valer Flores, Miguel Angel",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
This Professional Sufficiency Work (TSP) proposes the development of a Business Intelligence Dashboard to enhance the monitoring of the Internal Control System. The main identified issue is the lack of metrics and Key Performance Indicators (KPIs) to detect non-compliance with the provisions of Directive No. 006-2019-CG/INTEG. As it has been observed, many public entities lack the essential commitment to effectively implement the Internal Control System. In this context, the development of the Business Intelligence dashboard using Power BI was proposed. This involved the identification of success metrics and indicators, as well as establishing the technological architecture and developing the ETL process. Through, the dashboard implementation, a daily time optimization of 8 hours was achieved in obtaining reports to analyze the compliance of the Internal Control System (SCI). Additionally, end-users can monitor compliance progress through the web and smartphone-accessible dashboard. Ultimately, the efficiency in complying with the implementation of the SCI in 2022 significantly increased when compared to 2021. Non-compliant entities reduced by 1.1% in the National Government, 6.4% in the Regional Government, and 10.5% in the Local Government. Moreover, there was a 68.4% optimization in implementing types of corruption risk and a 69.2% functional performance improvement, surpassing the 60% threshold in both types of risks. As a result, it is concluded that the project has been successful.
This item is licensed under a Creative Commons License