Bibliographic citations
Anticona, C., Pinto, D. (2023). Solución de analítica de datos para mejorar la eficiencia en la gestión de cobranzas de multas de la Municipalidad Distrital de Huanchaco para el periodo 2021 [Tesis, Universidad Privada Antenor Orrego - UPAO]. https://hdl.handle.net/20.500.12759/10389
Anticona, C., Pinto, D. Solución de analítica de datos para mejorar la eficiencia en la gestión de cobranzas de multas de la Municipalidad Distrital de Huanchaco para el periodo 2021 [Tesis]. PE: Universidad Privada Antenor Orrego - UPAO; 2023. https://hdl.handle.net/20.500.12759/10389
@misc{renati/371404,
title = "Solución de analítica de datos para mejorar la eficiencia en la gestión de cobranzas de multas de la Municipalidad Distrital de Huanchaco para el periodo 2021",
author = "Pinto Prado, Dennis Fernando",
publisher = "Universidad Privada Antenor Orrego - UPAO",
year = "2023"
}
The present work is based on the permanent needs of the municipal administration as an end user, which requires the Huanchaco Tax Administration Services (SATH) to quickly access relevant aggregate information on the concept of administrative sanctions and to know their income and expedite the taking of decisions. The Huanchaco Tax Administration Service needs to be at the forefront of technological solutions for better collection in its district, having dynamic reports quickly, allowing better control and management of information. This process is carried out by an organization-owned transaction system, an administrative sanctions module developed in Access and recently migrated to Visual Studio with a SQL Server database administrator that generates a large amount of data. The biggest problem is that all this data is not used efficiently and quickly. Due to silos, key users of this process spend more time manually creating reports than analyzing key business metrics to achieve their strategic goals or grow revenue. Taking this into account, it is necessary to simplify this process, so I propose to implement a data analysis solution to improve the efficiency of accurate collection management in the municipality, which integrates all the data sets that the subjects allow to obtain, Through the integration process, the data will be transformed and loaded into our analytics solutions.
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