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A realistic DPP roadmap — without a big bang

DPP projects rarely fail because of the technology. They fail because systems are chosen too early and responsibilities are clarified too late. A viable roadmap reverses this order.

Schrittweises Vorgehen auf dem Weg zum Digitalen Produktpass
Step by step instead of a big bang: first orientation, then structure, then technology.

Phase 1 — Applicability and target picture

First, the sober question: which of our products fall under which regulation, on what timeline? In parallel, the target picture — is this about pure compliance, or also about benefiting from better product data? This answer shapes all subsequent decisions.

Phase 2 — Current-state analysis of the data landscape

What information already exists, where is it located, in what quality, who is responsible for it? This phase is usually surprisingly revealing: many companies gain a complete overview of their product data here for the first time — independent of the DPP.

Phase 3 — Roadmap and data model

Only now are gaps prioritized, a data model defined, leading systems determined for each data field, and maintenance processes defined. Only after that can the question of systems be meaningfully answered at all.

Phase 4 — Piloting and embedding

One product group, one complete run-through, real data. What emerges in the pilot is more valuable than any concept paper. After that, roll out step by step and embed the maintenance processes in the line organization — don't leave them in the project.

Readiness-LightCheck: Standortbestimmung vor dem Projektstart
The Readiness LightCheck provides an initial assessment in just a few minutes.

Typical pitfalls

  • Choosing software too early. Without a data model, tool selection becomes a gamble.
  • Treating the DPP as a project. Data has to be maintained throughout the lifecycle — that requires permanent responsibilities.
  • Underestimating supplier data. A significant share of the information comes from suppliers. Procuring it has its own lead times.
  • Optimizing only for mandatory data. A compliance minimum creates effort without internal benefit.

Do it yourself, or get support?

Both are possible. Implementation can be carried out entirely in-house or with specialized service providers — legal responsibility remains with the company that must provide the DPP in any case. What makes sense depends on the available resources, systems and expertise.

A good first step is the Readiness LightCheck. For getting started on the topic, the FAQ helps.