Análisis estadístico y pronostico para el servicio de internet móvil de los operadores en Colombia usando machine learning para determinar el número de abonados y su portabilidad

Abstract

Mobile operators in Colombia and their offered services collect a large amount of information regarding the variables of each service, as is the case of mobile internet, which today is offered by all operators in prepaid and postpaid plan modalities. The dynamics of supply and stability in the market that each operator has is linked to the characteristics of their plans and the constant change that each one presents monthly. This is why for entities such as the Communications Regulatory Commission (CRC) that owns and collects this data, it becomes necessary to understand the influence and dynamics of these conditions and their changes over time. The Postdata platform, managed and constantly updated by the CRC, collects various information from mobile operators in Colombia. Within this is the history of subscribers, portability and rates, where each one corresponds to different periods of time since its collection and/or update. This data is publicly accessible, so it is possible to consult and download it at any time. With this, it is possible to carry out and implement a statistical analysis that demonstrates the current conditions and the historical change of these variables in reference to each operator and its plan modalities. The realization of this analysis and respective forecast is framed through an institutionalized research project between the Francisco José de Caldas District University and the CRC endorsed by Minciencias through call 908-2021 (“New knowledge, technological development and innovation for the strengthening of the Information and Communications Technologies (ICT), postal and audiovisual content sectors. In this project, we seek to give greater visibility and importance to this data through a graphical user interface in which statistics and Machine Learning (ML) tools and techniques are integrated to generate results that provide a detail of the competition and dynamization of the variables in the different operators in the country.