Business intelligence for decision-making in the collection area of a municipality

The large volume of data in systems in the collection area leads to the lack of adequate management of information, as well as dissatisfaction on the part of the user. The purpose of the study is to implement business intelligence (BI) technology to improve the effectiveness of the information and the satisfaction of the attention of the users of a municipality of Lima in the area of collection; therefore, the phases of the Ralph Kimball method with the following phases: project planning; definition of requirements; design of technological architecture; in the dimensional modeling a snowflake scheme was made with 9 dimensions and 1 table made, in the physical design it was implemented in the MySQL management system and in the extract, transform, and load (ETL) development the migration, transformation and cleaning of the data from the online transaction processing (OLTP) database to online analytical processing (OLAP) was executed; obtaining as results that BI managed to increase the level of information efficiency by 53.32%, as well as the level of user satisfaction (LUS) by 1.90%, concluding that BI allows to meet the needs of the user since it maintains a clean, secure and reliable data structure.

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Publication Details

Journal
Bulletin of Electrical Engineering and Informatics
Published
2024-09-20
DOI
https://doi.org/10.11591/eei.v13i6.5704
Primary Topic
Business, Innovation, and Economy
Type
article
Field-Weighted Citation Impact
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article

Business intelligence for decision-making in the collection area of a municipality

Alfredo Daza, Yohan Roy Alarcón Cajas, Daniela Belen Salazar Casas
Bulletin of Electrical Engineering and Informatics
Business, Innovation, and Economy
article

Business intelligence for decision-making in the collection area of a municipality

Alfredo Daza, Yohan Roy Alarcón Cajas, Daniela Belen Salazar Casas
article en

Abstract

The large volume of data in systems in the collection area leads to the lack of adequate management of information, as well as dissatisfaction on the part of the user. The purpose of the study is to implement business intelligence (BI) technology to improve the effectiveness of the information and the satisfaction of the attention of the users of a municipality of Lima in the area of collection; therefore, the phases of the Ralph Kimball method with the following phases: project planning; definition of requirements; design of technological architecture; in the dimensional modeling a snowflake scheme was made with 9 dimensions and 1 table made, in the physical design it was implemented in the MySQL management system and in the extract, transform, and load (ETL) development the migration, transformation and cleaning of the data from the online transaction processing (OLTP) database to online analytical processing (OLAP) was executed; obtaining as results that BI managed to increase the level of information efficiency by 53.32%, as well as the level of user satisfaction (LUS) by 1.90%, concluding that BI allows to meet the needs of the user since it maintains a clean, secure and reliable data structure.

Bulletin of Electrical Engineering and InformaticsVol. 13(6)
Openalex Percentile: Top 80%
Business, Innovation, and Economy
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Business intelligence for decision-making in the collection area of a municipality — Alfredo Daza, Yohan Roy Alarcón Cajas, et al. · Bulletin of Electrical Engineering and Informatics (2024) | TGRS Research Map | TGRS