Data clarity

Data clarity is the starting point – not the DPP itself

Many companies experience “two speeds”: regulation and market demand accelerate, while data, processes and IT are historically grown. Data clarity means knowing which product information exists where, how reliable it is and how to make it connectable.

1) Orientation

What applies to you specifically? Which product groups, which evidence, which timeline?

2) Data inventory

Where does data live today (ERP, PDM/PLM, PIM, DMS, Excel/PDF, people)? What is current and what is missing?

3) Connectivity

Which structures and exports do you need, which roles and access rights, which standards in the supply chain?

Strategically prepared – data clarity as foundation for services and evidence
Data is potential: order creates the basis for digital services, circular economy and regulatory evidence.
Core offer

SME workshop (½–1 day): “Where do we stand – and what makes sense now?”

In one compact workshop we create clarity about your current status, relevant requirements and your roadmap toward the Digital Product Passport.

Module 1 – Orientation & relief

  • Regulation check: ESPR, DPP, CSRD and more – what applies when?
  • Risks & opportunities: consequences of waiting, benefits of early action
  • Stakeholder view: customers, supply chain, banks, employees

Module 2 – Data, processes & systems

  • Data situation: which product/system data exists where?
  • Processes: where do double work, media breaks and unnecessary effort occur?
  • Target picture: how does data clarity become a DPP-capable setup?

Module 3 – Economic value

  • Efficiency potential: less effort in documentation, reporting and requests
  • Competitive advantages: tenders, export, supply chain, repair & service
  • New business models: lifecycle services and transparency as a sales argument

Module 4 – Your roadmap

  • Prioritised measures: now, medium term, later
  • Responsibilities: who does what internally – where do we support?
  • Concrete path: pilot → prototype → scaling
Events, webinars and seminars are designed and delivered by individual network partners. Content and views reflect the perspective of the respective speakers.
Roadmap

In 6 steps to a first DPP-capable result

We combine structure with value: first create data clarity, then prioritise use cases, then set up the first pass/prototype – and then scale.

Step 1–2: starting point & requirements

  • Scope, product group, pilot product
  • Obligations & evidence (e.g. RoHS/REACH, CoC, test reports)

Step 3–4: data clarity & use cases

  • Data inventory & gap list
  • Prioritise use cases/value (service, spare parts, circularity)

Step 5–6: prototype & scaling

  • Prototype + exports (CSV/JSON), access concept
  • Test with stakeholders → rollout across product families

Result: clarity + practical next steps

You receive a robust roadmap, prioritised measures and a clear view of which data is truly missing – and which data is already usable.

Optional: implementation in the 360° sprint (steps 1–6) with prototype, test and scaling.
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