Data Fusion & Analytics helps organizations govern, optimize, and future-proof their Data and AI platforms.

Clients: We worked with Berkshire Hathaway, The Washington Companies, Robert Half, and Amur Finance to bring financial control, governance, and architectural clarity to complex cloud data environments.

Many organizations run Databricks, Azure Synapse, and Microsoft Fabric without real cost accountability, governance, or AI readiness.
Our FinOps for Data & AI and Engineering Audit Framework gives leadership the visibility and control they need without slowing innovation.

🧩 Our 3-Phase Governance-Driven Approach

1️⃣ Data & AI Cost Baseline
We integrate Azure billing, Databricks system tables, and workload metadata to create a unified view of spend by team, product, and use case.

2️⃣ Engineering & Platform Audit
We assess cluster usage, job design, storage, pipelines, and governance gaps to identify waste, risk, and AI-blocking architecture.

3️⃣ FinOps & Governance Controls
We implement policies, budgets, tagging, dashboards, and guardrails so cost optimization becomes continuous and enforceable.

💡 Most clients achieve 25 to 40 percent cost reduction in under 60 days while improving platform reliability and AI readiness.

👉 Book a Free Data & AI FinOps and Governance Assessment to get your baseline report.

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Data Fusion & Analytics

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Data Fusion & Analytics

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