The winning team developed a system modeling the probability of a user going from a zone of a mall to another depending on those that visited before
Last 26th of November ended the Hackathon Big Data & Analytics first edition organized by Situm, the Government of Galicia and HPE. The event focused on developing ideas related to data analysis using mall customers’s path positioning data.
David Álvarez, Daniel Cores, Jacobo López and Rodrigo Martínez, members of this first edition winning team, presented a system modeling the probability of a user going from a zone of a mall to another depending on those that visited immediately before.
This system could be use to introduce personalized advertising in a mall application, showing messages of stores localized in areas that a user will probably visit or, otherwise, as a call to those stores localized in less visited areas.
Álvarez, Cores, López and Martínez currently combines their different jobs with the Interuniversity Master in Big Data: Massive Data Analysis Technologies of the universities of Murcia and Santiago de Compostela.
They defined the hackathon as a “great experience”, highlighting the “good atmosphere among all the participants”. “We have learned a lot because we decided to work with technologies in which we don`t have any previous experience”, commented the winning team.
The group is quite clear about the priority of any team that wants to participate in a hackathon: “It is very important to have a clear idea, as well as the team members and its roles, their tasks and a structured line of work before the beginning of the hackathon […]. Having the final idea divided in sub-targets could help to dismiss those tasks that the team may not be able to implement in time. This avoids to compromise the entire development, allowing the team reach the presentation with something to show, even if the initial idea is not totally complete”.
Know more about the winners: