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CASE STUDY / Data Engineering
Global Consumer Enterprise Data Integration & Governance
Consumer Goods, Retail & Enterprise DataLed enterprise data integration, governance framework design, and digital transformation planning to create a consistent foundation for trusted data use.
Delivery Details
This project addressed enterprise data distributed across systems and functions by designing an integration architecture and governance framework. It covered source inventory, critical data definitions, quality and ownership controls, integration workflows, and a phased roadmap so reporting, analytics, and AI could rely on consistent, traceable data.
Industry Context
Global consumer enterprises operate across markets, brands, and business systems, where master, transaction, and performance data often suffers from inconsistent definitions, duplication, and unclear ownership. Integration and governance provide the trusted foundation required by BI, forecasting, and AI.
Business Problem
Fragmented sources, inconsistent definitions, and unclear ownership limited reporting trust and cross-functional use.
What I Built
Mapped sources and flows, then designed governance roles, quality rules, shared definitions, and an integration roadmap.
Business Impact
Established a scalable trusted-data foundation for BI, analytics, and AI adoption.
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