This chapter contains two case studies around Public Dialog in Data-Driven Urban Planning. The first case is about data visualization. The visualization and the dialog around it inspired ideas and feedback from local stakeholders. This suggests that a data-driven city is not just led by smart city operators but also by the community with appropriate data representations. We have seen the rise of a kind of community-level, grassroots leadership, which we should perhaps dub data-driven local management. The second case is about hybrid (online and offline) approach to the public dialog. The hybrid approach can throw open the doors to people who were unable to participate in conventional in-person workshops. Our workshops were attended by graduate students, housewives, and other people who were participating in community building for the first time, via social media. Hybrid dialog increases the range of participation and thus the range of perspectives represented. From our observations about data visualization and public dialog, we concluded that combining the two into a single platform will help diversify the range of people participating in data-driven local management. Under these conditions, public dialog will go beyond the task of simply gaining public consent toward a proposed intervention and become a step toward a more creative and more grassroots form of community building.