Data governance plays a crucial role in ensuring the accuracy, consistency, and security of data, particularly in the context of digital experiences where user interactions are complex and unpredictable. It involves a set of processes, policies, and standards that help maintain a trustworthy dataset by managing how data is collected, organized, and secured. Effective data governance allows organizations to derive valuable insights from digital events, which are detailed records of user interactions such as page visits or button clicks. These insights are critical for understanding and improving digital products. The article outlines three methods for capturing digital events—manual tracking, autocapture, and hybrid capture—and emphasizes the importance of efficiently turning this data into actionable insights through a four-step process: mapping, validating, monitoring, and evolving events. This structured approach aids teams in designing robust data management practices that align with both current and future analysis needs while encouraging further exploration of best practices and change management in data governance.