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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


 

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