Service
Data Governance & Quality
Access control, validation, reconciliation and monitoring that make analytics secure and trustworthy.
Business challenges
- Sensitive data visible to the wrong users
- Discrepancies found after publication
- No visibility into who uses which report
- Compliance and audit pressure
Proposed approach
- 01Define roles, data domains and access rules
- 02Implement automated quality and reconciliation checks
- 03Monitor usage and access
- 04Document standards and ownership
Technical solutions
- Row-Level Security and RBAC (Power BI, Superset)
- dbt tests and validation rules
- Reconciliation against source systems
- Usage & access analytics dashboards
Deliverables
- Access model and configuration
- Data-quality test suite
- Reconciliation reports
- Governance documentation
Expected business value
- Secure, compliant access to data
- Fewer discrepancies reaching decision-makers
- Clear accountability for data
Outcomes depend on each organization's data, systems and context; these describe the value the approach is designed to deliver.
Related experience
Business & Project Collaboration
Have a Data, Analytics or Digital Transformation Project?
Looking to modernize your data infrastructure, build an enterprise data warehouse, automate business reporting, or implement intelligent business analytics?
Let's discuss your requirements and explore how I can help turn your business challenges into practical technology solutions.
Engagements I can discuss
- Enterprise Data Engineering Projects
- Data Warehouse & Lakehouse Implementation
- Power BI & Superset Development
- Business Intelligence Consulting
- ERP Data Integration
- Reporting Automation
- Digital Transformation Initiatives
- Analytics Architecture & Strategy
- Technical Consulting & Collaboration
Inquiries are handled personally and confidentially. I take on engagements as an independent professional, not as a registered consulting firm.