Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
DYNA
Print version ISSN 0012-7353On-line version ISSN 2346-2183
Abstract
RISCO-RAMOS, Redy; PEREZ-AGUILAR, Daniel; CASAVERDE-PACHERREZ, Luis and VASQUEZ-DIAZ, Edilberto. Use of a business intelligence framework in the management of the quality of electricity supply in small and medium-sized companies. Dyna rev.fac.nac.minas [online]. 2022, vol.89, n.221, pp.31-40. Epub Aug 26, 2022. ISSN 0012-7353. https://doi.org/10.15446/dyna.v89n221.99085.
The objective of this study is to present a methodology based on business intelligence in small and medium-sized companies. Three methods were selected and evaluated, and the cross-industry standard process for data mining (CRISP-DM) was used as a reference. The methodology was applied to a real case study: an agro-industrial company, using a commercial business intelligence application, to find corrective measures to improve the management of the company's electricity supply. Based on the results of this study, it can be concluded that with low-cost computational tools, it is possible to visualize and control parameters of the electrical supply, group the consumption of reactive energy for an adequate selection of steps in a capacitor bank. Additionally, with a minimum knowledge of modeling, data analysis, and the electricity sector, these tools are not only applied in commercial matters but also in the management of electricity supply.
Keywords : analytics; business intelligence; clustering; CRISP-DM; data mining.