Automated collection, processing pipelines, structured storage, dashboards. We build everything from A to Z - and deliver it turnkey.
You're starting from zero, or your data stack is a patchwork of cobbled-together solutions. Either way, you need a solid infrastructure designed to last and grow with your business.
Your data is scattered: some in the CRM, some in the ERP, a lot in Excel files that only Jean-Marc understands. Every time you need a number, it's an expedition.
Maybe you've started patching together connections. A Zapier here, a Google Sheet there, a Python script nobody maintains. It holds - until the day it breaks.
Real data infrastructure is the foundation that makes everything else possible: reliable dashboards, usable AI, robust automations. Without it, every data project starts from scratch.
A proven methodology for a solid, scalable data foundation.
We map your data sources, tools and current flows. We identify what works, what's missing and what needs to change.
We design the target architecture: which data, which pipelines, which storage, which visualization. You validate the plan before we build.
Collection pipelines, transformations, structured storage, dashboards. Each component is tested individually then in integration.
Production deployment, complete documentation, team training. The infrastructure runs autonomously - we remain available for support.
Your data is collected automatically from all your sources. No more copy-paste, no more manual exports.
A clean, well-modeled database ready to accommodate your growth. Easily accessible and queryable.
Dashboards connected in real-time to your data. Automatic alerts when a KPI exceeds a threshold.
Complete technical documentation and team training. You're autonomous to use and evolve the infrastructure.
Illustrative examples based on common situations. Results vary depending on context.
The startup had raised funds but had zero data infrastructure. Metrics (MRR, churn, CAC) were calculated manually in Google Sheets.
Complete infrastructure: collection from Stripe/Hubspot/Intercom, transformation pipeline, database, real-time dashboards. Investors have continuous access to metrics.
Each production site had its own system. Consolidating figures took 3 days per month and required 2 full-time people.
A unified pipeline collects data from all 5 sites, normalizes it and feeds a group dashboard. Consolidation is instant and automatic.
The company wanted to use AI for personalized product recommendations, but data was too scattered and poorly structured.
Cleaned and structured data infrastructure. Customer, product and transaction data now feeds an AI recommendation engine. Average basket: +12%.
We assess your current situation and propose an architecture tailored to your needs and budget. 30 minutes, no commitment.
Free discovery call, no commitment