Data Governance

OVERVIEW

We implement scalable, enterprise-grade governance frameworks that cover data ownership, quality, privacy, and lifecycle management — aligning with evolving regulatory and business needs.

Key Focus Areas:

  • Data Quality
    Data validation, Data cleansing and metadata standards
  • Data Security
    Access Control, data encryption and secure data sharing
  • Data Accessibility
    Data harmonization, democratization of data, unified business insights
  • Data Ownership
    Establish oversight, accountability and ownership
  • Knowledge
    Build data dictionaries, data catalogs and facilitate training and collaboration
  • AI & Advanced Analytics Readiness
    Ensure data is reliable and readable for AI, LLM’s and predictive modelling

Use Cases

✅ Regulatory Compliance

Ensure alignment with data privacy regulations such as GDPR, CCPA, or HIPAA by enforcing governance rules and audit trails.

✅ Data Catalog & Lineage

Build a centralized catalog of enterprise data assets with lineage tracking — making data more discoverable and trustworthy.

✅ Role-Based Access Control

Implement fine-grained access policies to ensure the right users access the right data — reducing exposure and risk.

✅ Master Data Management

Maintain consistency and accuracy across customer, product, and vendor records with unified governance rules.

✅ Business Glossary & Metadata Management

Enable a common understanding of terms and datasets by standardizing definitions and tagging key business data assets.

✅ Data Quality Assurance

Monitor and enforce rules for accuracy, completeness, and timeliness of data used in reporting, analytics, and AI.

The Guddge Data Governance Playbook

Data Governance Playbook – PDF Version