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An example of how we connect modeling, data engineering, and software. Client details are kept private; results are described within the scope of the available evidence.

Market intelligence · Statistical modeling

Engineering a price-tier forecasting workflow

Client: Market intelligence engagement

A Python workflow that allocates source units and revenue into price tiers, connects country and vendor views, and assembles model outputs with reconciliation and diagnostic reports.

Statistical modelingData engineeringWorkflow automationModel assurance
Read the case study Download PDF 9 pp · 230 KB

3 tiers

Low, mid, and high price bands

2 engines

Country and vendor views

2022–2030

Country output horizon in the reviewed build

Python → Excel

From source inputs to reviewable output

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