Data Science Consulting

Turn scattered data into decisions your teams can trust.

We help leadership, commercial, finance, and operations teams move from fragmented reporting to data products, models, and decision systems that work inside the business.

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What we build

Data science work has to connect to a real decision. We design the data layer, analytics, models, and reporting around the people who will use them.

Analytics foundations

Data audits, source mapping, data models, BI foundations, and executive reporting that remove manual reconciliation.

Segmentation and forecasting

Customer segmentation, demand views, campaign analysis, scenario models, and forecasting workflows.

Experimentation

Measurement frameworks, attribution analysis, incrementality tests, and decision logic for growth teams.

From Excel chase to one decision layer

For a $20B global retailer, we consolidated more than 20 data sources, built a global customer segmentation model, and created daily commercial visibility across 80+ markets.

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Data science consulting FAQ

What is data science consulting?
Data science consulting helps organizations use data to improve decisions through analytics, modeling, segmentation, forecasting, experimentation, and decision-support tools.
What data do we need before starting?
You do not need perfect data before starting. A first phase maps available sources, checks quality, defines the decision problem, and builds a practical path to usable analytics.
Do you only advise or also build?
We both advise and build: strategy, data modeling, pipelines, dashboards, experimentation frameworks, and embedded execution support.

Make the business logic visible.

We can help clarify what your data can answer, what it cannot answer yet, and what should be built first.

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