bambu-studio-ai
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Data Governance Framework
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install 1kalin/afrexai-data-governanceInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Assess, score, and remediate your organization's data governance posture across 6 domains.
When asked to assess data governance:
| Score | Rating | Action |
|---|---|---|
| 0-25% | Critical | Immediate remediation — regulatory risk |
| 26-50% | Developing | 90-day improvement plan required |
| 51-75% | Managed | Optimize and automate weak areas |
| 76-100% | Optimized | Maintain and benchmark against peers |
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Score your organization's data governance across 6 domains with 48 controls. Get a remediation roadmap prioritized by regulatory risk.
0-100% across each domain. Overall score = average. Remediation prioritized by risk.
# Data Governance Framework Assess, score, and remediate your organization's data governance posture across 6 domains. ## What This Covers 1. **Data Quality** — Completeness, accuracy, consistency, timeliness scoring 2. **Data Cataloging** — Asset inventory, lineage tracking, metadata management 3. **Access Control** — Role-based permissions, least privilege, data classification (public/internal/confidential/restricted) 4. **Compliance Mapping** — GDPR, CCPA, SOX, HIPAA, PCI-DSS, industry-specific regulations 5. **Retention & Lifecycle** — Retention policies, archival schedules, deletion procedures, legal hold 6. **AI/Agent Data Governance** — Training data provenance, model input/output logging, bias detection, PII handling in agent workflows ## How to Use When asked to assess data governance: 1. Ask which domains are priority (or assess all 6) 2. For each domain, evaluate 8 controls on a 0-3 scale: - 0 = Not implemented - 1 = Ad hoc / informal - 2 = Documented and partially enforced - 3 = Automated and continuously monitored 3. Calculate domain score (sum / 24 × 100) 4. Calculate overall governance score (average of domains) 5. Generate remediation roadmap prioritized by risk ## Scoring Interpretation | Score | Rating | Action | |-------|--------|--------| | 0-25% | Critical | Immediate remediation — regulatory risk | | 26-50% | Developing | 90-day improvement plan required | | 51-75% | Managed | Optimize and automate weak areas | | 76-100% | Optimized | Maintain and benchmark against peers | ## Domain 1: Data Quality Controls 1. Data profiling automation (duplicate detection, format validation) 2. Quality dashboards with SLA thresholds 3. Root cause analysis for quality failures 4. Stewardship program (assigned data owners per domain) 5. Quality gates in data pipelines (reject bad data at ingestion) 6. Business rule validation (domain-specific logic checks) 7. Cross-system reconciliation (source vs target matching) 8. Quality trend tracking...
# AfrexAI Data Governance Framework Score your organization's data governance across 6 domains with 48 controls. Get a remediation roadmap prioritized by regulatory risk. ## Domains Covered - Data Quality (profiling, SLAs, stewardship) - Data Cataloging (discovery, lineage, glossary) - Access Control (RBAC, classification, anomaly detection) - Compliance Mapping (GDPR, CCPA, SOX, HIPAA, PCI-DSS) - Retention & Lifecycle (archival, legal hold, minimization) - AI/Agent Data Governance (provenance, PII, explainability) ## Scoring 0-100% across each domain. Overall score = average. Remediation prioritized by risk. ## Get More - [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) - [Industry Context Packs — $47](https://afrexai-cto.github.io/context-packs/) - [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)
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