Public-sector decision-making increasingly depends on the ability to organise and interpret the growing volume of data produced across urban environments. Urban data streams gain value when they are interpreted as insights that inform fair, transparent, and accountable decision-making. Viewing decision-making as part of an urban data ecosystem highlights how evidence, context, and institutional responsibility interact. In such an ecosystem, data moves through cycles of collection, interpretation, and feedback, linking analytical tools with the perspectives of institutions and communities. This dynamic process requires attention not only to technical capability but also to ethics, inclusiveness, and trust. Digital platforms, algorithms, and Local Digital Twins can strengthen decision-making when guided by governance frameworks that protect privacy, ensure accountability, and align technology with public value. This learning unit explores how urban data ecosystems can enhance public-sector decision-making. Learners examine the data-to-decision chain, the role of emerging tools, and the cultural capacities needed to use data as a relational resource that connects insight with responsibility.