Foundation: Enterprise Data Governance

Designing and implementing a comprehensive data strategy for a multinational corporation with siloed and inconsistent data systems. This ongoing project involves creating a unified data architecture, governance framework, and quality standards that will serve as the foundation for all future AI initiatives.

We are mapping all data sources, establishing clear ownership protocols, and building automated data pipelines that clean, standardize, and catalog information. This creates a single source of truth that is reliable, accessible, and secure for analytics and machine learning.

• Enterprise-wide data audit and mapping

• Automated data quality monitoring and cleansing

• Centralized data catalog with lineage tracking

• GDPR and CCPA compliance framework integration