Data Governance for Self-Service BI: Striking the Perfect Balance
Self-service BI tools—Power BI, Tableau, Looker—empower business users to explore and analyze data. Without proper guardrails, however, freedom can turn into data chaos.
The Challenge
- Different teams may calculate KPIs differently.
- Sensitive information can leak without proper permissions.
- Regulatory requirements (GDPR, HIPAA, SOC 2) can be overlooked.
Data Governance creates a trusted framework so every insight is accurate, secure, and compliant.
Key Pillars of Governance
- Data Ownership & Stewardship: Clear roles for maintaining datasets and approving changes.
- Standardized Metrics & Definitions: A universal data dictionary prevents “multiple versions of the truth.”
- Metadata & Catalogs: Central catalogs help users discover and trust datasets.
- Role-Based Access & Security: Granular permissions safeguard sensitive fields while enabling exploration.
- Audit & Compliance Controls: Automated logs and monitoring to stay ahead of audits.
Best Practices to Get Started
- Create a cross-functional governance council (IT + business units).
- Integrate governance tools with your BI platform (Microsoft Purview, Collibra, Alation).
- Promote data literacy training so business users understand governance rules and their importance.
- Set up automated data quality checks to catch errors before they reach dashboards.
Hands-on with business client projects to master Data Governance for Self-Service BI. Join Realtime Program with handson to Business client projects. #Call on +917989319567 / whatsapp on https://wa.link/t1hnyy
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