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Enterprise Data Intelligence

Intelligence Isn't Magic.
It's Architecture.

We architect the data foundations that make AI possible — from semantic models to cloud optimization to intelligence-ready governance.

$387MRevenue Managed
1.5M+Records Unified
15+Years Experience
Fortune 500Clients
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Intelligence Isn't Magic.
It's Architecture.

AI doesn't fail because of models — it fails because of foundations. We design the semantic models, governance frameworks, and cloud architectures that turn fragmented data into intelligence you can trust.

01

Architecture First

Semantic models and data structures designed before a single dashboard is built — so everything that follows is built to last.

02

Governance Always

Lineage, access controls, and data integrity embedded at every layer — governance is a feature, not an afterthought.

03

AI Enablement

A foundation and intelligence layer that turn trustworthy data into real, deployable AI capability.

Know Where You Stand — in Minutes

Two free, self-serve diagnostics. No sign-up walls, no sales calls — just an honest read on your data estate and a prioritised set of next steps.

What We Build

From foundational architecture to executive intelligence — the complete systems that make AI and analytics possible.

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Why One Big Table Consulting

We build foundations, not trends

  • Architecture-first on every engagement — semantic models and governance before dashboards
  • AI fails at the data layer, not the model layer; we fix the layer that matters
  • Systems built to outlast the trends that inspired them

Enterprise depth, measurable results

  • $250M+ in measurable revenue impact across Fortune 500 transformations
  • Global cloud modernization and M&A data continuity at enterprise scale
  • Data integrity and governance embedded at every layer you can trust
See How We Work

Our full engagement methodology — phases, deliverables, and milestones.

Kick-off to Handoff
in 12 Weeks

Once scope is agreed, we kick off with a structured 12-week delivery roadmap. Every milestone is tied to a measurable business outcome — so your stakeholders always know exactly what is being built, and why it matters.

Weeks 1–2

Foundation Sprint

Stakeholder alignment, source system access, architecture design sessions, environment setup.

Weeks 3–5

Data Architecture Build

Core data model design, pipeline engineering (ETL/ELT), governance framework, live data quality monitoring.

Weeks 6–8

Semantic Layer & Governance

Semantic model deployment, access control & RBAC, lineage documentation, first stakeholder review.

Weeks 9–10

Intelligence Layer

Executive dashboards (Power BI / Tableau), KPI framework deployed, AI feature store foundations.

Weeks 11–12

Handoff & Enablement

Team training & documentation, runbook & maintenance guide, final stakeholder presentation.

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Architecture thinking. No filler.

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Ready to Build the Foundation Your AI Needs?