This chapter explores the role of data governance in digital organizations, emphasizing the distinction between data and information as foundational to value creation. While traditional organizational models emphasized information derived from structured interpretation of data, contemporary developments have shifted focus toward data as a dynamic and strategic asset. The authors introduce a typology that classifies organizations along two dimensions – data first vs. information first and anarchy vs. governance – resulting in four ideal types: info-anarchy, data-anarchy, infocracy, and datacracy. Each type reflects differing degrees of division of labor, collaboration, and cultural attitudes toward data and information. Drawing on these degrees, this chapter illustrates how organizations can assess their current data governance maturity and design appropriate transition strategies. These include redistributing work, governing cross-unit collaboration, and fostering cultural change. The authors explain that the primary challenges in data governance are no longer technological but organizational, requiring ongoing effort to balance autonomy and standardization while enabling data-driven innovation. Ultimately, effective data governance entails developing organizational capabilities that transform data into actionable information and fostering a culture that sees data as a valuable, shared resource.