The convergence of two phenomena – the rapid pace of global urbanization and the increasing volume of urban data – presents new opportunities to address society’s most pressing challenges. Accepting the projection that more than 80% of the world’s population will live in cities by 2100, there is a new sense of urgency to understand the fundamental dynamics of urban and metropolitan areas. While advances in data collection and modeling tools have improved planning and operations within specific urban domains, new sensing technologies (both proliferated in situ and synoptic) enable sources of data that can be harnessed to improve urban life. Extracting actionable insight from these data, however, require new data science tools, analytical methods, and computing capabilities. This presentation focuses on how big data and new forms of data are shaping decision-making in real estate investment, risk analysis, city management, and urban planning. It provides specific examples of use cases for novel urban sensing modalities and large-scale data analytics and illustrates how data technologies are shifting our ability to understand urban dynamics and the form and function of cities.