Big Data for the detection of social inequalities
The Big Social Santiago project applies a methodology of social segmentation of the population of Santiago de Compostela through the analysis of public data in collaboration with local agents to detect possible situations of vulnerability.
This project is developing a series of dynamic maps that visualize the results obtained from the socio-economic parameters grouped by areas, as well as the social care resources available in the city. This tool will facilitate the regular monitoring of socio-economic indicators of the territory for local social entities and will speed up the process of analysis and strategic decision-making in the field of social welfare.
Therefore, the project uses advanced data analysis and processing techniques, through Big Data, in order to support the development of personalized social policies and actions with greater efficiency.
