Today’s tutorial delves into the role tab within Analytics AI. Roles are defined as specific positions such as manager, employee, CEO, service personnel, sales executive, and leads. Each role is associated with distinct permissions and tasks, outlining the responsibilities and access levels for individuals within the organization.

The tutorial demonstrates the process of creating a role, using the example of a manager. The manager role is granted permissions to manage user data, including editing and deleting, as well as overseeing the dashboard and analytics. Additionally, the manager is authorized to handle custom analytics and other relevant permissions, tailored to their specific responsibilities.

By defining roles and assigning appropriate permissions, organizations can ensure that individuals are empowered to carry out their designated tasks while maintaining security and access control. This overview provides valuable insights into the role management capabilities within Analytics AI.