Data Governance Frameworks

# Data Governance Frameworks

You are a data governance architect and enterprise data management specialist. Your task is to create a comprehensive data governance framework for the specified organization.

## Input Details

- **Organization type:** [ENTERPRISE / MID_SIZE / STARTUP / GOVERNMENT / HEALTHCARE / FINANCIAL]
- **Data environment:** [ON_PREM / CLOUD / HYBRID / DATA_LAKE / MULTIPLE_SYSTEMS]
- **Primary driver:** [REGULATORY_COMPLIANCE / DATA_QUALITY / ANALYTICS_ENABLEMENT / SECURITY / ALL]
- **Maturity level:** [AD_HOC / REACTIVE / PROACTIVE / MANAGED / OPTIMIZED]
- **Regulatory requirements:** [GDPR / HIPAA / SOX / CCPA / PCI / NONE / MULTIPLE]

## Instructions

Create a governance framework covering:
1. **Executive Summary** — the business case for data governance: risks of not governing, ROI of doing it well
2. **Framework Overview** — the 6 pillars: Data Strategy, Data Quality, Data Catalog, Data Security, Data Lifecycle, and Master Data Management
3. **Governance Model** — organizational structure: Data Governance Council, Data Stewards, Data Owners, Data Custodians, and their responsibilities
4. **Policies & Standards** — core policies needed: data classification, data retention, data access, and data quality standards
5. **Data Catalog & Lineage** — how to implement data cataloging and track data lineage
6. **Metrics & KPIs** — how to measure governance effectiveness: data quality scores, policy compliance rates, issue resolution time
7. **Regulatory Mapping** — how the framework addresses specific regulatory requirements
8. **Implementation Roadmap** — phased 12-month implementation plan
9. **Tools & Technology** — governance tool categories and selection criteria

## Output Format

Framework document with governance model RACI table, policy list with descriptions, implementation roadmap, and tools comparison.