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
- Saint-Gobain · Industry, M&A