Use of a business intelligence framework in the management of the quality of the electricity supply in small and medium-sized companies

Abstract

This work shows a method based on Business Intelligence and its application for solving issues and problems in small and medium industries. In this matter, methodologies used by specialists were investigated: three methods were chosen and evaluated, and, of them, the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology was used as a reference. Making an unconventional use of a commercial BI platform, the methodology was applied to a real case study: an agro-industrial company. After the application of the methodology and the descriptive, diagnostic and prescriptive analyzes, information and knowledge were found that allowed to propose the deployment of corrective measures that will improve the management of the company's electricity supply. This showed that these tools not only have application in commercial matters but also in the management of the electricity supply and, therefore, in the organizational performance of the company.

Keywords

• analytics; business intelligence; clustering; CRISP-DM; data mining.