Do you work with our existing stack?
Yes — we build on common warehouses and BI tools and connect to the sources you already have rather than starting from scratch.
Services
Data & analytics
Pipelines, warehouses, and dashboards that turn scattered product data into numbers people trust and decisions they can act on.
Where this helps
Use this when decisions stall because the data is scattered, untrusted, or trapped in one tool — and you need a reliable pipeline, a shared source of truth, and dashboards people believe.
Voir des réalisations liéesWhat gets better
- 01
One trusted source of truth
Pipelines consolidate scattered data into a warehouse with definitions everyone agrees on.
- 02
Dashboards people actually use
Reporting is built around real questions, so teams self-serve instead of pinging you for numbers.
- 03
Data quality you can rely on
Tests, freshness checks, and lineage catch broken data before it reaches a decision.
What's included
Data pipelines
Ingestion and transformation from your sources into a clean, modeled warehouse.
Warehouse & modeling
A source of truth with tested, documented metric definitions.
Dashboards & reporting
Self-serve dashboards built around the questions teams actually ask.
Quality & lineage
Freshness checks, tests, and lineage that catch broken data early.
Good fit
A data project delivers when trustworthy numbers change decisions — not when another dashboard nobody opens gets built.
Best when
Data is spread across tools, metrics are argued about, or reporting is manual and slow.
Not ideal when
A single spreadsheet already answers the question and there is no real scale or trust problem.
You leave with
A pipeline, a modeled warehouse, documented metrics, dashboards, and data-quality checks.
How we work
- 01
Découvrir
Nous cartographions le vrai problème, les contraintes et ce à quoi ressemble le succès — avant la moindre ligne de code.
- 02
Concevoir
Parcours, interface et architecture décidés ensemble, pour que le développement arrive sans surprises.
- 03
Construire
Des itérations serrées que vous voyez et utilisez chaque semaine. Pas de boîtes noires, pas de grande révélation à la fin.
- 04
Livrer et accompagner
Nous lançons, surveillons les courbes et restons pour renforcer, mesurer et continuer d'améliorer.
Service questions
The short answers buyers usually need before a scoping call.
How do we know the numbers are right?
Metric definitions are documented and tested, with freshness and quality checks that flag broken data before anyone reports on it.
Can the team self-serve after handoff?
That's the goal: modeled data, clear definitions, and dashboards mean people answer their own questions without waiting on engineering.
Vous avez quelque chose qui mérite d'être construit ?
Dites-nous ce que vous créez. Nous vous dirons — honnêtement — si nous sommes la bonne équipe, et comment nous l'aborderions.
- Une réponse sous un jour ouvré
- Une estimation cadrée — gratuite
- Directement à un ingénieur, sans filtre commercial