Abstract   Open government data has led to public policy innovation in pursuit of various expected benefits. One of the intended goals of open data innovation to improve transparency and accountability. However, our current understanding of open data innovation and its ability to generate transparency and accountability is limited, particularly with regard to empirical evidence. In this paper, we describe how a state agency redesigned its organizational processes around visualization tools and how such efforts helped bridge the transparency-accountability gap by enhancing the understandability and usability of open government data. We conclude that open data innovation does not stop with the adoption of an open data policy, but rather involves an ongoing cycle of improvements through which the organization responds to its various stakeholders' use of open data, thereby increasing usefulness of those datasets and, subsequently, improving overall accountability.