bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Data Governance Framework
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install 1kalin/afrexai-data-governance打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
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 |
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
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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