Carrefour Links' MD, Emmanuel Malkor
Carrefour Link
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Data taxonomy misalignment between retailers and suppliers is a fundamental blocking point for collaboration—Carrefour discovered that sharing raw data meant nothing when both parties had different frameworks for classifying and interpreting it. Standardizing taxonomy across the supply chain is a prerequisite for any meaningful data-sharing program.
Retailers hold multiple data sources (panels, surveys, internal systems) that suppliers cannot easily access or integrate, creating an asymmetric information problem. The opportunity lies in translating and mediating these datasets into a common language that suppliers can actually act on, rather than dumping raw data and expecting understanding.
Internal organizational perspective (how Carrefour sees its own business) differs structurally from supplier perspective, making unilateral data sharing ineffective. Success in collaborative analytics requires designing data offerings from the supplier's operational and strategic viewpoint, not the retailer's.
Conversation 47
And you have also access to your own data when you do all the panel, when you do surveys to customers. And each company has their own way to see data as well. The taxonomy, for example. And the biggest challenge is, as we see Carrefour as, we see the business as Carrefour, when we shared our data to suppliers, they didn't understand.
Emmanuel Malkor, How Carrefour Links is Transforming Retail Through Data Collaboration at Carrefour Link
Carrefour Links' MD, Emmanuel Malkor
OFFBounds Source · 47· Carrefour Link
