Business Intelligence and Data Mining Technologies for the analysis of cocoa production and commercialization

Abstract:

The purpose of this paper is to identify the key performance indicators (KPI) of production and commercialization of a cocoa company; the CRISP-DM methodology was used to guide the development and implementation of a dashboard for data analysis and decision support through business intelligence (BI) and data mining (DM) technologies. The most significant results are a dashboard BI-DM with web interface that accesses a dataware house, visualizes statistical information, detects data patterns and pbkp_redicts the yield and sales of the cocoa crop through time series, Holt-Winters method with R2> 0.9.

Año de publicación:

2018

Keywords:

• Business intelligence
• Data Mining
• COCOA
• DASHBOARD
• production
• COMMERCIALIZATION

Fuente:

scopus