AI does not need better AI.
AI needs better data.
Most failed AI pilots do not fail because of the model — they fail on data that was never designed for machine processing.
Workshop · 1 day · from €3,500
Garbage in.
AI out.
Before you invest in AI: understand what your data can do today — and what it cannot. In one day.
The starting point
Why this workshop?
Three observations from hundreds of data and AI projects in mid-sized companies.
AI does not need better AI.
If you do not know your data,
you do not know your risks.
PPWR, Digital Product Passport, supply chain laws: regulatory obligations hit companies that do not have a clear view of their own data flows.
Excel is not
a data strategy.
90% of mid-sized companies maintain critical product and material data in spreadsheets that nobody but the owner can interpret.
Self-test · 10 questions · 3 minutes
How sovereign are you with your data?
Answer 10 yes/no questions. At the end you see your maturity level and a concrete entry recommendation — without giving up your email.
Workshop agenda
What happens during this day?
Five blocks, one outcome per block. On-site, with a cross-functional team.
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01
Data inventory
Who owns what today? Which systems, which Excel silos, which heads?
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02
Data DNA mapping
On an XL canvas: product · material · production · commercial. Gaps become visible.
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03
Pain-point prioritization
Top 5 pains — scored by effort × impact.
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04
Roadmap sketch
Quick wins (3 months), mid-term (6–12), long-term (12–24).
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05
Wrap-up & data manifesto
One page you can take into the board meeting.
Workshop package
Outcome and price.
What you take home after one day — and what it costs. Fixed price, no surprises.
What you take home
- Data DNA report (12–15 pages) with heatmap, risk score, and roadmap recommendation
- Photo documentation of the completed canvas — for internal sharing
- One-page data manifesto for executives and board
- 30-minute follow-up call with leadership 2 weeks after the workshop, included
References
Who has worked with us?
Anonymized cases — specific references on request.
"We did not realize our PIM was not really a PIM."
After the audit: Pimcore PXM project with a clear DPP roadmap.
"Suddenly it was clear why our AI search kept failing."
Data source consolidation as a prerequisite — AI pilot is back on track.
"Finally a roadmap leadership actually understands."
The one-page data manifesto unlocked the budget.
FAQ
Frequently asked questions
Who is this workshop for?
Mid-sized companies of around 50 employees and up who suspect their data landscape has gaps but do not know where to start. Industry-agnostic, ideally with a physical product.
Do we need preparation material?
A rough overview of your systems and an initial stakeholder picture. We send a one-page checklist before the workshop — that is enough.
Who should attend from our team?
Cross-functional is essential: IT, product management, sales, quality, optionally compliance. 4 to 8 people, otherwise the discussion becomes too narrow or too scattered.
What happens after the workshop?
You receive the report within 2 weeks. Then a 30-minute follow-up call with leadership. What you do with the result is up to you — we will not push.
Is our data safe?
We sign an NDA, all workshop materials stay with you, and the report is delivered encrypted. No data leaves your premises.
Does the workshop make sense without Pimcore?
Yes. The audit is tool-neutral. Which platform (Pimcore, Akeneo, in-house system) fits best emerges from the findings — not before.
Can we run the workshop remotely?
Possible, but not recommended. The canvas and sticky-note work loses too much momentum remotely — and the playful element is what surfaces the gaps.
What does the follow-on consulting cost?
A typical MDM/PXM concept project runs at 15–25 person-days. Implementation afterward in fixed-price phases. Concrete numbers come once we know your findings.
Discovery call · 15 minutes · no sales pressure
Your contact
We clarify together whether the workshop is the right fit for you — or not.
Mike Streibl
Digital Transformator · +Pluswerk
Mike has been working with mid-sized companies on data strategy, PIM implementations, and the data economy for 20 years. He designed the workshop and facilitates it himself.
iframe not loading? Write directly to mike.streibl@pluswerk.digital.