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Use Case:
Many organizations, including ours, have users with access to multiple workspaces. Each workspace may contain sensitive or confidential information, and as a result, there is a need for differential export options based on the workspace context.
Current Challenge:
The current export options are applied globally, making it challenging for administrators to control the export capabilities on a per-workspace basis. This limitation poses a significant risk, as users with access to multiple workspaces may inadvertently or maliciously export sensitive data from workspaces where export functionality should be restricted.
Proposed Solution:
Implementing granular control of export options at the workspace level would address this challenge effectively. This enhancement would allow administrators to customize export settings based on the specific requirements of each workspace. For example, some workspaces may be designated for public reporting and analysis, where full export options are enabled, while others containing confidential data may have export options restricted.
Key Benefits:
Enhanced Security: The ability to control export options at the workspace level provides a more robust security framework, reducing the risk of unauthorized data exports.
Compliance: This enhancement aligns with regulatory and compliance requirements, ensuring that organizations can implement the necessary controls to protect sensitive information.
Flexibility: Administrators gain the flexibility to tailor export settings based on the nature of the data within each workspace, striking a balance between data accessibility and security.
User Experience: Users will have a seamless experience, knowing that export options are aligned with the workspace's intended use and security policies.
Conclusion:
By introducing granular control of export options at the workspace level, Power BI can offer a more secure and flexible environment for organizations with diverse reporting needs. This enhancement aligns with best practices in data governance and would be highly appreciated by the Power BI community.
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