Implementation
From the digital nameplate to the DPP
Start pragmatically: define a pilot product, review data, clarify responsibilities, build a prototype, test and scale.
360° sprint (steps 1–6)
- Step 1 – Preparation: scope, pilot product, stakeholders, data inventory, evidence
- Step 2 – Understand: lifecycle map, data flows, IDs, public/protected/permitted
- Step 3 – Decide: target picture, architecture, roles, governance
- Step 4/5 – Prototype & test: exports (CSV/JSON), interfaces, feedback
- Step 6 – Go live: scaling to product families and supply chain
Close the “two speeds” gap
Markets and regulation accelerate while organisations and IT are often historically grown. Data clarity emerges through structure, not through more documents.
Result: connected data base instead of data silos
From a structured data base, DPP content, data sheets, reports and exchange formats such as JSON/XML can be derived efficiently.
Key principle: maintain data once – then link it and export it into different outputs.