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.
Passende Arbeiten ansehenWhat 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
Entdecken
Wir kartieren das eigentliche Problem, die Rahmenbedingungen und wie Erfolg aussieht – vor der ersten Zeile Code.
- 02
Gestalten
Abläufe, Oberfläche und Architektur gemeinsam entschieden, damit die Umsetzung ohne Überraschungen kommt.
- 03
Bauen
Enge Iterationen, die du jede Woche sehen und nutzen kannst. Keine Blackboxes, kein großes Finale am Schluss.
- 04
Launchen und betreuen
Wir launchen, beobachten die Kurven und bleiben dabei, um zu härten, zu messen und weiter zu verbessern.
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.
Hast du etwas, das es wert ist, gebaut zu werden?
Erzähl uns, was du machst. Wir sagen dir – ehrlich – ob wir das richtige Team dafür sind und wie wir es angehen würden.
- Antwort innerhalb eines Werktags
- Ein konkretes Angebot – kostenlos
- Direkt zu einem Ingenieur, ohne Vertriebsschicht