La formación del talento analítico, una tarea compartida entre universidad e industria

Abstract

The aim of this article is to reflect on the importance of using data and technological tools in order to generate analytical capacity in organizations since they are decisive in the strategic solution of business problems, customers’ knowledge, and the adaptability competitive market, which is increasingly becoming more digital. In order to make analytics at the business-level, human talent with knowledge and skills in data science and digital domains is also required, who can take advantage of the potential of predictive modeling techniques in order to achieve data-based decision making. In this sense, the training of the analytical talent is a shared task between university and industry, and given the fact that currently the demand is greater than the supply, it is pertinent to argue about under which conditions, they would allow to close the existing gap.