Data infrastructure and platform

A modern architecture, connected to your sources, that feeds your BI and AI projects with reliable, up-to-date data

In brief

Indicative duration: 3 to 6 weeks of scoping, then 2 to 4 months per domain
Format: Fixed price per phase or time and materials
Method step: Step 1, Build

Who it is for

Companies whose data is scattered across ERPs, files and tools
IT teams that want to industrialise their data flows
Companies preparing to scale up BI or AI

The problem we solve

Manual exports, fragile scripts, data copied from one tool to the next: every report has its own source of truth, and every new source takes months

How we work

Target architecture and platform choice, for example Microsoft Fabric, Databricks, Snowflake or BigQuery, to suit your context
Source integration: SAP and other ERPs, CRM, files, SharePoint, with Talend, Informatica, Azure Data Factory or dbt
Data modelling and the first domains in production
Monitoring, ongoing operations and maintenance, security, documentation and skills transfer

What you get

A documented target architecture
Automated, monitored data flows
A data model per domain
Security and access rules
Operations documentation

Tools

Microsoft Fabric, Databricks, Snowflake, Google BigQuery, Amazon Redshift, SAP BW and SAP Datasphere, Talend, Informatica, Azure Data Factory, dbt, SQL, and the other platforms on the market

Frequently asked questions

Which platform should we choose?

The one that fits your ecosystem, your skills and your budget. We compare the options on your real use cases, with no vendor bias

Do we have to migrate everything at once?

No. We move domain by domain, starting with the one that brings the most value

Let’s talk about your data

30 minutes to review your context and identify the first useful project

Book a 30-minute call Take the free assessment

Transverse

Data platform and BI tool migrations

Migrations without disruption: reconciled figures and users on board

Learn more

Data governance and quality

Clear roles, shared rules and measured quality