Handling Folder-Level Permissions and Workspace Management

Hi Adit1,

Happy to see you here in the Microsoft Fabric Community!

To address your questions, please consider the following key points:
Managing Editors and Viewers:

For efficient role management in your organization, it's best to use Azure Active Directory (AAD) Security Groups. Set up groups like BI_Editors_Sales and BI_Viewers_Sales, and assign them roles at the workspace level, use Member for report editors and developers, and Viewer for business users as needed. Avoid assigning individual users directly to workspaces; security groups make onboarding and offboarding much easier. To prevent over-provisioning, keep workspace Admin roles limited to a select group of trusted users.

Organizing Workspaces for Engineering and BI:

Rather than mapping each Tableau folder to an individual Power BI workspace, consider using a functional or domain-driven workspace structure. For instance, you could set up workspaces like Sales_Analytics, HR_Data_Engineering, or Marketing_BI_Pipelines. A clear approach is to have dataflows and datasets managed by Data Engineering teams, while reports and dashboards are created by BI developers. Depending on your team setup, this can be handled in a shared workspace or divided into Sales_DataFoundation and Sales_BIApps. You can also use Microsoft Fabric Domains to group related workspaces by department, function, or project.

Leveraging Apps and Audience Targeting

For business users, it’s best to provide content through Power BI Apps instead of direct workspace access. This approach offers a secure, organized, and scalable viewing experience. By using Audience Targeting, you can customize the content each group receives from the same app. For example, Sales can view sales reports, while Finance sees only financial dashboards, all managed within one app. This method keeps content clear and eliminates the need to duplicate workspaces.

Deployment Pipelines for CI/CD:

Power BI’s Deployment Pipelines are recommended for implementing a Dev–Test–Prod release workflow. They allow you to assign datasets, reports, and dashboards to each stage, and use pipeline rules to automatically update dataset parameters like connection strings or environment variables. Using a clear naming convention (such as Sales_Report_Dev and Sales_Report_Prod) helps keep content and workspaces organized across stages, supporting better governance and reducing deployment risks.

Overview of Fabric deployment pipelines - Microsoft Fabric | Microsoft Learn

Governance and Automation at Scale

When managing environments with a large number of reports, automation becomes essential. Use the Power BI REST API or PowerShell Cmdlets to automate workspace creation, assign AAD groups to appropriate roles, and regularly audit both access and usage. Effective governance should also cover:

• Consistent naming conventions such as Dept_Environment_Object
• Role-Based Access Control (RBAC) using AAD security groups
• Regularly scheduled access reviews and usage audits

Power BI REST APIs for embedded analytics and automation - Power BI REST API | Microsoft Learn

djurecic have already provided nearly all the required documents and responses. Thank you for your reply.

Regards,
CST Member.