Data & Analytics Consulting in New York
North America engagements are typically for companies with manufacturing or supply chain operations in the GCC, India, or Southeast Asia — where the corporate function is in New York or the broader US, and the operational challenge is in our primary markets. The Fractional Data Officer model resonates particularly well in the US, where the concept of fractional executive leadership is well-established and the cost of a full-time CDO in New York is significant.
What we see on the ground
The New York market reality
US-based clients tend to have higher awareness of modern data stack tooling — Snowflake, dBT, and Databricks are well-understood at the technical level. The challenge is more often the domain knowledge gap: understanding how to apply those tools to the specific operational environment of a manufacturing plant in Dubai or a supply chain network spanning India and Southeast Asia. That's the combination MDI provides.
Industries we serve in New York
Compliance & regulatory context
SOX compliance for listed companies. SEC reporting requirements. State-level data privacy laws (CCPA and equivalents).
Our work in New York
Services delivered in New York
Every engagement listed links to a page that covers what the problem actually looks like in New York, how we approach it, and what changes as a result.
Manufacturing Analytics
Real-time production intelligence for plants that are tired of making decisions on yesterday's numbers.
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Logistics Analytics
OTIF isn't a metric you track monthly. It's a signal you need in real time — by lane, by carrier, by customer.
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EPC Analytics
Project cost reporting in EPC should not take five days to close. If it does, the problem is data architecture, not headcount.
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Project Analytics
A dashboard that shows what happened last month isn't project intelligence. You need to see what's about to happen — before it does.
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Retail & FMCG Analytics
Demand forecasting that runs on last week's Excel export is not a forecasting system. It's a liability.
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Packaging Analytics
Material consumption variance is the most under-tracked cost driver in packaging. Most plants only see it at month-end — after the waste has already happened.
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Conversational BI
Power BI gets deployed. 80% of the organisation looks at it once and goes back to emailing the analyst. The problem isn't the dashboard — it's that most people don't know what question to ask of a chart.
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Microsoft Fabric & Power BI
Most organisations have been sold a data warehouse that's already three years out of date, or a cloud migration that happened but the analytics layer was never built. We fix that.
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Modern Data Stack
The question isn't whether to adopt Snowflake or Databricks. The question is whether your data problem is actually a tool problem — and most of the time, it isn't.
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Digital Transformation Advisory
Most digital transformation roadmaps fail not because of technology — because there's no data foundation underneath them. You can't AI your way out of a data quality problem.
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Supply Chain Analytics
End-to-end supply chain visibility isn't a luxury. It's what separates the companies that absorb disruption from the ones that get disrupted.
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New York · United States
Working in New York? Let's talk.
First call is 45 minutes. We ask about your systems, your team, and the specific operational problem you're trying to solve. No deck. No obligation.