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What you'll learn:
Data often loses momentum in handovers between departments. What should be a smooth flow instead turns into endless meetings, unclear responsibilities and recurring misunderstandings. The problem is rarely the technology itself, but rather the lack of a shared understanding of who owns the data, why it is collected and how it moves throughout the organization.
In this document, we explore four common challenges we see in organizations working with product data. Logistics, e-commerce and finance pulling in different directions. Responsibility gaps that no one wants to own. AI initiatives failing due to poor data quality. Digital Product Passport (DPP) requirements being treated as a checkbox exercise instead of an opportunity.
The focus is on the conversations and questions that actually drive change. Not what the textbook says, but what works in practice.