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    Data Governance Frameworks

    Establish policies, standards, and processes to ensure data quality, security, and compliance.

    Data Governance Frameworks

    The Challenge

    Organizations lack formal data governance, leading to compliance risks, poor data quality, and inability to trust data for critical decisions.

    Root Cause Analysis

    • No data ownership: Nobody is accountable for data quality or access
    • Regulatory exposure: GDPR, HIPAA, SOX compliance gaps
    • Shadow IT: Business users create ungoverned data copies
    • No lineage: Can't trace how data flows or transforms

    How We Solve This with Cloud Technologies

    Enterprise Governance Platform

    We implement governance using Collibra, Alation, or Atlan with cloud-native integrations:

    • Data catalog with automated discovery and classification
    • Policy engine for access control, retention, and quality rules
    • Lineage tracking from source to consumption
    • Quality monitoring with Great Expectations or Monte Carlo

    Framework Components

    1. Data ownership model: Domain stewards, data owners, governance council
    2. Policy library: Access, retention, quality, privacy policies
    3. Metadata management: Business glossary, technical metadata, lineage
    4. Quality scorecards: Automated measurement against defined SLAs
    5. Compliance reporting: Audit-ready reports for regulators

    Business Impact

    • 100% audit readiness for regulatory examinations
    • 40% improvement in data quality scores
    • Reduced compliance risk with automated policy enforcement