The aim of this paper is to analyze, via a case study, the main issues related to data production in a preliminary step of defining and designing a Decision Support System (DSS) for urban logistics. The case study is that of Bogota City, Colombia. We present in a first time a literature review concerning with the relevance of developments and application of DSS in urban areas, focusing on megacities. Then, the case study is presented, by identifying the context, the main stakeholders and the needs in information that would be used in a DSS for urban logistics. Finally, a discussion of those results and a set of practical implication are proposed.