The final step in designing a data model that supports RBAC is to create the data access policies and rules that enforce the system. Data access policies are the conditions or criteria that determine when and how users can access data based on their roles and permissions, while data access rules are the logic or expressions that implement these policies. It's essential to design these policies and rules in a manner that is consistent, scalable, maintainable, and supports your business objectives and compliance requirements. To illustrate this, let's consider a simple example of a data warehouse for an online store. This warehouse contains three data entities - Customer, Product, and Order - each with several attributes. There are also four data roles - Owner, Manager, Analyst, and Customer Service - each with different data permissions. To implement these permissions in the data model, techniques like encryption, masking, data views, and access control can be used. By designing a data model that supports RBAC, it's possible to achieve both data security and privacy while enabling analysis and reporting for different user groups.