Operator on an industrial production line
Sector · Industry

In short

Visian supports Industry companies with data and AI by business function: executive management and m&a, operations and supply chain, procurement, quality and maintenance, it, detailed client cases. Distributed sites, legacy ERPs, external growth: industrial data is fragmented.

Challenges

Data in the sector

Distributed sites, legacy ERPs, external growth: industrial data is fragmented. Structuring it is the prerequisite for any transformation.

  • Group reference data and post-acquisition harmonisation
  • Operational and supply-chain performance management
  • Multi-country, multi-language change management
  • Data maturity scales for subsidiaries and BUs

By business function

Data and AI use cases

Executive management and M&A

Data maturity assessment of targets, post-acquisition integration, group-wide frameworks.

Operations and supply chain

Site performance management, demand forecasting, inventory and logistics flow tracking.

Procurement

Supplier data consolidation, spend analysis, harmonised item master data.

Quality and maintenance

Traceability, non-conformity analysis, predictive maintenance and equipment IoT data.

IT

Harmonisation of legacy ERPs, group data platforms, multi-country change management.

References

Visian in the sector

  • Saint-Gobain: data maturity of M&A deals
  • Sagemcom: big data platform
  • Bombardier: design thinking and innovation process
  • Daher and Machine Pagès: IoT and industrial robotics

Detailed client cases

All references

Key figures

Facts and figures

  • 350 data & AI consultants and 120+ projects delivered since 2016 (Visian, 2026).

A data project in industry?

A first 30-minute conversation to frame the need with the business function concerned.

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