Align your data platform with your business at last
Eliminate inconsistencies, shorten project cycles, and make your decisions more reliable through governance driven by a shared, industrialized business model.
Why do your data projects slow down?
-
Misaligned business definitions
-
Proliferation of inconsistent sources
-
Endless back-and-forth between IT and business teams
-
Contradictory KPIs across reports
👉 Result:
-
Loss of trust
-
Delayed decisions
-
Exploding costs
Governance driven by the business model
We structure your data platform around a shared business model, designed with your teams.
👉 This model becomes:
-
The entry point for business requirements
-
The reference for KPIs
-
The foundation of developments
👉 And above all:
It is automatically leveraged within your data pipelines
What makes us unique
1. Industrial Model-Centric approach
No theoretical governance
👉 2. Native automation
DBT / DataVault / API / SQL generation
👉 3. Business–technical continuity
No gap between requirements and implementation
👉 4. Measurable acceleration
Reduced time-to-data
👉 What you get in concrete terms
-
A shared language between business and IT
-
Consistent KPIs across all your reporting
-
A drastic reduction in project cycles
-
Capitalization on data use cases
-
An evolving platform without semantic debt
A modular and industrialized offering
-
Governance scoping
-
Business model design
-
Tooling (Modelio + Acceliance extensions)
-
Automated pipeline generation
-
Adoption support
Feedback & use cases
-
CSRD Carbon Footprint data platform
-
SAP ECC financial reporting
What if we explored together how to concretely align your data platform with your business?
Align your data platform sustainably with your business through an industrialized model-centric governance approach — and accelerate coherence, efficiency, and the impact of your data projects
Translation in English under works