Cities and urban areas are complex systems and interaction spaces, and their governing officials and representatives are steadily confronted with a variety of new challenges, problems and conflicts. Based on the available information resources, these representatives are required to make critical, timely and well-founded decisions to react to or proactively identify such challenges. Urban decision makers are nowadays faced with both unprecedented challenges as well as new opportunities as the environment around them grows ever more complex. Out of the readily available “sea of information” some sources potentially important to decision-making have so far remained largely untapped. The UrbanData2Decide project aims to extract and process information from two rich sources, namely public social media and open data catalogues. This information, combined with advice from expert panels, aims at supporting local governments towards a holistic, sustainable and well-founded decision-making process which takes into account the views and perspectives of all relevant stakeholders. Building on the broad data pools in the form of social media content and open data sets, the UrbanDataVisualiser aggregates, structures and visualises this data using a multi-layered and multi-dimensional approach. The framework extensively uses data mining, sentiment analysis and visualisation techniques and leads to the development of a proof-of-concept demonstrator to showcase the information using intuitive and clear dashboards. The UrbanDecisionMaker on the other hand will complement this bottom-up approach by integrating external experts and advisors using scientific multi-round expert integration methods and tools such as the Delphi method, a structured communication technique, developed as a systematic, interactive forecasting method which relies on a panel of experts.