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Service 03

Data & Analytics

The path from raw operational data to a number someone actually acts on — built once, correctly.

What we build

  • Ingestion and transformation pipelines
  • Warehouse modelling and metric definitions
  • Operational dashboards for non-technical teams
  • Forecasting and demand models
  • Machine learning models with honest validation

Who needs it

Companies with data in five systems and no single trustworthy view of it.

The problem it solves

Reporting that lives in spreadsheets, disagrees with itself, and arrives a week late.

Expected outcome

One reconciled source of truth, refreshed automatically, with metrics defined in code.

Typical stack

  • Python
  • PostgreSQL
  • dbt
  • pandas
  • scikit-learn
  • Metabase

Contact

Have a problem worth solving?

Tell us what you’re building, what isn’t working, or what you want to automate. The first conversation is about understanding the problem — not selling a package.