What method is best for controlling access to data in a dashboard created from a dataset in Dataverse?

Row-level security is the most effective method for controlling access to data in a dashboard created from a dataset in Dataverse. This security feature allows you to restrict data access based on user roles, ensuring that users can only view data relevant to them. By implementing row-level security, you can create dynamic security filters based on user identities, which enhances data privacy and compliance with organizational policies. This is particularly important in environments where sensitive data is involved, as it allows for tailored data visibility.

While workspaces can help manage collaboration and data access at a broader level, they do not provide the granular control that row-level security offers. Power BI Premium can enhance performance and provide features like paginated reports and larger model sizes, but it does not inherently manage data access. Dataflows are used primarily for data preparation and transformation and do not directly influence the access control mechanisms applied to dashboards. Row-level security thus stands out as the most suitable option for ensuring appropriate data access in a dashboard context.