Data governance is an ongoing practice that ensures data accuracy, consistency, and security, fostering trust in the data used within an organization. The blog post explores three data governance strategies—conservative, liberal, and blended—each with different access levels, roles, and permissions. The conservative approach is strict, granting most users view-only access, suitable for larger organizations aiming to minimize risks. The liberal approach offers more editing freedom and is ideal for smaller, technical teams with high data maturity. The blended approach combines elements of both strategies, allowing growing teams to manage risk while promoting innovation and ownership. Understanding and assigning appropriate roles and permissions is vital for maintaining data trust, and selecting the right governance approach is key to maximizing dataset value and ensuring efficient analysis.