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Data governance and compliance

Data governance and compliance in Power BI are critical aspects for organizations to ensure that data is managed, protected, and used in accordance with regulatory requirements and internal policies. Here's how data governance and compliance are addressed in Power BI:


1. Data Protection:

  • Encryption: Power BI encrypts data both at rest and in transit to ensure data security.
  • Data Classification: Apply sensitivity labels to classify and protect sensitive data based on its sensitivity level.
  • Row-Level Security (RLS): Implement RLS to restrict access to data at the row level based on user roles and permissions.

2. Access Controls:

  • Role-Based Access Control (RBAC): Assign roles and permissions to users and groups to control access to Power BI resources.
  • Tenant Settings: Configure tenant-wide settings for access controls, including sharing settings, content pack settings, and dataset settings.

3. Compliance Features:

  • Compliance Reports: Generate compliance reports to assess adherence to regulatory requirements and internal policies.
  • Audit Logs: Access audit logs to track user activities, access requests, and administrative actions within Power BI.
  • Data Retention Policies: Define data retention policies to manage data lifecycle and ensure compliance with retention requirements.

4. Data Governance:

  • Data Lineage: Understand the lineage of data by tracking its source, transformation, and consumption within Power BI.
  • Data Catalog: Maintain a centralized catalog of datasets, reports, and dashboards to facilitate data discovery and governance.
  • Data Quality: Implement data quality rules and standards to ensure the accuracy, completeness, and consistency of data in Power BI.

5. Compliance Standards:

  • Regulatory Compliance: Ensure compliance with regulatory standards such as GDPR, HIPAA, SOX, and CCPA when handling sensitive data.
  • Industry Standards: Adhere to industry-specific compliance standards and regulations applicable to your organization's industry sector.

6. Integration with Compliance Solutions:

  • Microsoft Information Protection (MIP): Integrate Power BI with MIP to apply and enforce data classification, labeling, and protection policies.
  • Microsoft 365 Compliance Center: Leverage the compliance capabilities of the Microsoft 365 Compliance Center to manage data governance and compliance across Microsoft 365 services, including Power BI.

7. Education and Training:

  • User Training: Provide training and education to users on data governance policies, compliance requirements, and best practices for using Power BI securely.
  • Policy Enforcement: Enforce data governance policies and compliance requirements through user education, awareness campaigns, and policy enforcement mechanisms.

By addressing data governance and compliance requirements in Power BI, organizations can effectively manage and protect their data assets, mitigate risks, and ensure regulatory compliance, thereby building trust and confidence in their data-driven decision-making processes.

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