Data engineering
A complete architecture, from collection to reporting: your sources, whatever they are, brought together in an automated, controlled foundation.
Let's talkThe challenge
Information lives in applications, databases, online services and files, each with its own rules. Each department builds its own figure, and time is lost reconciling them.
What we build
Business applications, databases, online services, APIs, files: each source is connected, whatever its origin, with its history.
A single foundation, sized for your volume, where raw data is kept exactly as received.
Data goes through successive stages: raw, cleaned and made reliable, then modeled for analysis.
Flows run on their own, in the right order, with recovery after incidents and alerts.
Automated tests at every step: completeness, consistency, duplicates, discrepancies. Anomalies are caught before they reach users.
Shared business definitions (margin, active customer, delay) and readable indicators for the teams.
How we work
Inventory of sources, user needs and target architecture.
Source connection, central storage and automated flows.
Transformations, quality controls and semantic model.
Dashboards, complete documentation and handover to your teams.
What you get
One single figure, the same in every department.
Contact
Each area of expertise can be delivered on its own, or combined in a single engagement. Let's talk about yours.
Get in touch