Data Warehousing & Lakehouse Architecture
- Unified storage across your operational systems
- Built to be queried, not just archived
Data & Analytics
The foundation every AI layer reads from.
Governed data platforms, warehouses, and BI that give your business answers it can trust—and every AI initiative a foundation worth building on.
What we do
Four capabilities. One governed layer underneath all of them.
The data platform has two jobs: give the business one trustworthy version of the truth and give every future AI system a safe layer to read from.
Business Intelligence & Reporting
- Real-time dashboards instead of month-end exports
- One version of a number, not five spreadsheets with five answers
Advanced Analytics & Data Science
- Predictive and statistical modeling on your own data
- The layer between raw numbers and an actual decision
Semantic Layer & AI Readiness
- A governed layer every AI agent can query safely
- The foundation the AI Layer's Five-Factor Framework checks for
Where this shows up
What a governed data layer actually changes.
When data is structured, governed, and available in the flow of work, reporting effort drops and leadership gets a current view of the organization.
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More than 80% less manual reporting effort.
NetSuite and Salesforce data were unified in an Azure analytics warehouse and delivered through one Power BI layer.
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A current view of workforce and operations.
Oracle BI and workforce analytics gave leadership one clear, current view of their own organization.
How we work
Assess. Structure. Govern. Activate.
The same delivery discipline as every TRUGlobal engagement, expressed in the vocabulary of a data practice.
Map the estate
Identify what data exists, where it lives, who owns it, and who actually uses it today.
Design the foundation
Build the warehouse or lakehouse architecture that reporting and AI both depend on.
Set the rules first
Define access control, lineage, data quality, and stewardship before new products build on top.
Put data into the work
Turn the governed layer into dashboards, models, semantic services, and AI-ready pipelines.
The governed layer
Data becomes usable when ownership and meaning travel with it.
Architecture alone does not create trust. The operating controls make the data dependable for reporting, analytics, and AI.
Lineage
Teams can trace a reported number back to its governed source.
Access control
People and agents see only the data their role permits.
Quality ownership
Rules, thresholds, and remediation have named owners.
Semantic consistency
Metrics and business terms keep the same meaning across tools.
Know what your data can actually support before you build on it.
We assess the data foundation behind the planned outcome, then identify the architecture, governance, and operating work required to make it dependable.