Bibliographic citations
Gonzales, F., Mejia, J., Otoya, A. (2020). Propuesta de mercados alternativos y potenciales para la empresa Sociedad Agrícola Drokasa S.A [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/656695
Gonzales, F., Mejia, J., Otoya, A. Propuesta de mercados alternativos y potenciales para la empresa Sociedad Agrícola Drokasa S.A [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/656695
@misc{renati/396239,
title = "Propuesta de mercados alternativos y potenciales para la empresa Sociedad Agrícola Drokasa S.A",
author = "Otoya Pagan, Angela Katia",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
This paper is an analysis from a business and statistical perspective of the Agrokasa company in order to find new potential markets that allow it to grow in the volume of its avocado exports and in profitability per Kg exported. To achieve the aforementioned, a previous analysis from a business approach has been used, to understand the context and business area. Once this is understood, the methodology of data science has been applied to find destination countries that are attractive to Agrokasa. The data set was obtained from different public and private sources such as Veritrade and Trademap, with which it was possible to identify 03 potential markets that were China, Russia and South Korea. In the analysis, different technological tools were used to compile, debug, process and visualize the data, such as Excel, Power Bi and Python. With which it was demonstrated the importance of seeing all the variables in a visualization that allows us to understand the behavior of the data and serves as a basis for decision-making. China was the market with the highest total FOB value exported in the analyzed period, which was from 2018 -2020, however, with a negative trend, but with a convenient average price. On the other hand, Russia was the market with the best growth prospects and South Korea with a better price per KG. Finally, for all markets, a data science technique with supervised learning with a predictive approach was used to forecast the imports of each of them in order to establish commercial strategies to penetrate them.
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