Data Governance is the establishment of policies, standards, and defined processes for managing information. It is a critical practice for every organization. However, a major challenge is the lack of clear guidelines or references, leading many organizations to neglect data governance or perceive it as an intangible concept. Consequently, issues such as untraceable data sources, lack of data ownership, insufficient security standards, poor data quality, and data hoarding remain unresolved. This section will present a practical approach to developing a Data Governance project, providing clear insights into its purpose, implementation, measurement, and stakeholders. Undoubtedly, the outcomes will facilitate the transition to a Data-Driven Organization. Data Canvas is presented in this section to show step-by-step of how to design the scope for a big data analytic project.AI Risk Canvas is also presented to do AI Governance.