Challenges
Why data matters
Spend scattered across entities, inconsistent supplier master data, under-used contracts: procurement holds savings that only consolidated data can reveal.
What data brings
What data changes
Spend analysis
Spend consolidation by category, supplier and entity, identifying savings levers.
Supplier master data
De-duplication and enrichment of supplier data, linking to parent groups.
Supplier performance
Tracking lead times, quality and delivery compliance.
Supplier risk
Monitoring dependency, financial health and CSR criteria.
Contracts
Tracking deadlines, commitments and negotiated terms.
Generative AI
First generative AI use cases
- Extraction and analysis of contract clauses
- Preparing specifications and tenders
- Automatic spend classification
Method
The Visian approach
- Framing with the department concerned: decisions to inform, indicators, priorities.
- Data : source inventory, quality measurement, corrections at source.
- Tool : dashboard, model or AI assistant delivered in short iterations.
- Adoption : team training, usage tracking, skills transfer.
References
Visian achievements
- Saint-Gobain: common frameworks rolled out across subsidiaries
- Servier: EBX MDM and master data management