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Data Governance Maturity

by @krishnakumarmahadevan-cmd

Comprehensive platform for evaluating organizational data governance maturity across multiple domains with actionable recommendations and improvement roadmaps.

Versionv1.0.0
πŸ’‘ Examples

Sample Request

{
  "userId": 12345,
  "sessionId": "sess_a1b2c3d4e5f6g7h8",
  "timestamp": "2024-01-15T10:30:00Z",
  "assessmentData": {
    "sessionId": "sess_a1b2c3d4e5f6g7h8",
    "timestamp": "2024-01-15T10:30:00Z",
    "responses": {
      "dataQualityProcesses": 4,
      "dataOwnershipClarity": 3,
      "accessControlFramework": 4,
      "complianceDocumentation": 3,
      "metadataManagement": 2,
      "dataClassification": 4,
      "policyEnforcement": 3,
      "incidentResponsePlan": 4
    }
  }
}

Sample Response

{
  "sessionId": "sess_a1b2c3d4e5f6g7h8",
  "timestamp": "2024-01-15T10:30:00Z",
  "overallScore": 78,
  "maturityLevel": "Managed",
  "domainScores": [
    {
      "name": "Data Quality",
      "score": 85,
      "status": "Strong",
      "assessment": "Established processes for data quality monitoring with automated validation rules in place across critical data assets."
    },
    {
      "name": "Data Ownership",
      "score": 68,
      "status": "Developing",
      "assessment": "Data ownership roles are defined but inconsistently applied. Need to strengthen accountability and escalation procedures."
    },
    {
      "name": "Access Control",
      "score": 82,
      "status": "Strong",
      "assessment": "Role-based access controls implemented with regular access reviews. Identity and access management aligned with governance policies."
    },
    {
      "name": "Compliance",
      "score": 75,
      "status": "Managed",
      "assessment": "Compliance requirements documented and mapped to controls. Regular audits conducted with remediation tracking."
    },
    {
      "name": "Metadata Management",
      "score": 62,
      "status": "Developing",
      "assessment": "Basic metadata standards exist but lack comprehensive coverage across data landscape. Metadata governance tooling needed."
    },
    {
      "name": "Data Classification",
      "score": 80,
      "status": "Strong",
      "assessment": "Data classification scheme established and applied to majority of organizational data with sensitivity labeling."
    }
  ],
  "recommendations": [
    {
      "priority": "High",
      "title": "Implement Enterprise Metadata Management Platform",
      "description": "Deploy centralized metadata repository to catalog data assets, lineage, and governance attributes. Integrate with data discovery tools for improved data governance visibility."
    },
    {
      "priority": "High",
      "title": "Strengthen Data Ownership Accountability",
      "description": "Establish formal data stewardship program with defined roles, responsibilities, and escalation procedures. Conduct training for data owners and stewards."
    },
    {
      "priority": "Medium",
      "title": "Enhance Policy Enforcement Automation",
      "description": "Implement automated policy enforcement controls for data access, usage, and movement. Deploy data loss prevention (DLP) tools to monitor policy violations."
    },
    {
      "priority": "Medium",
      "title": "Expand Data Classification Coverage",
      "description": "Extend classification scheme to cover all data assets including structured and unstructured data. Implement automated classification where feasible."
    }
  ],
  "roadmap": "Phase 1 (0-3 months): Establish formal data stewardship program and conduct comprehensive data inventory. Phase 2 (3-6 months): Implement metadata management platform and expand classification coverage. Phase 3 (6-12 months): Deploy automated policy enforcement and conduct governance maturity reassessment."
}

View on ClawHub
TERMINAL
clawhub install toolweb-data-governance-maturity

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