The text briefly discusses the incorporation of massive use of data by governments and public administration in response to the growing need of integrating greater amounts of information into the processes of developing and evaluating policies. This movement has been defined by some scholars as data-driven policy making. As an example of integrated data exploration within the Municipal Secretariat for Sports, Leisure and Youth, the authors present two assessments produced by data mining techniques and spatial analysis dealing with the following questions: 1) What would be the best distribution of the urban equipments in the city? What kind of public equipment best fits the needs of the neighborhood or region? How to increase the population’s access to urban equipments fofpports, leisure and youth policies?