Work that ends with numbers you can trust.
Five things, depending on where it's breaking. Most engagements start with the free audit and grow from there.
Make the data tie out
When the ERP says one thing and the floor says another, decisions get made on a guess. I trace where the numbers diverge (extract logic, master data, manual overrides) and fix it at the source so the figures reconcile and stay that way.
Stop rebuilding the same report
The monthly pack that takes two people two days is a pipeline waiting to happen. I automate the extract, joins, and formatting in Python or Power Query so the report builds itself. The team gets those days back.
Dashboards people actually open
A dashboard is only useful if the numbers are right and it's built around questions people actually ask. I build Power BI on a clean data model. Not a wall of charts nobody reads.
A senior pair of hands, part-time
For companies that need operational and data expertise without a permanent hire: interim cover, a fractional data lead, or a fixed-scope project. Working in English, Dutch, and French across the Netherlands, Belgium and France.
Put the repetitive work on rails
The same manual steps every week (pulling data, reformatting, copying figures between systems) are work a machine should do. I automate those workflows in Python and Power Query, and where it genuinely helps, I add AI: extracting and classifying data, drafting documents, summarising long inputs. For more complex needs I build AI assistants that handle one specific workflow from start to finish. I also advise on where AI fits in the tools you already run (SAP, Power BI, etc.) and where it doesn't. Less manual effort, numbers you can still rely on.
What automation and AI have done in practice.
A client was losing more than six hours a week to data reconciliation caused by manual entry. With the checks automated, reconciliation errors dropped to zero.
A daily morning routine that took an hour now runs in about five minutes. AI handles the read-through; nothing gets missed.
Document and email drafting that used to take a full person is now handled by AI overnight, freeing up more than twelve hours a day.
Instead of relying on someone to remember, the system now sends the alert automatically the moment something changes.
Common questions
What does a fractional operations and data consultant do?
Senior-level operational and data expertise on a part-time or project basis, without a permanent hire. I work with manufacturing and distribution companies to fix broken reporting, automate workflows, and build Power BI dashboards on clean data.
What tools do you work with?
Power BI, SAP, Anaplan, Python, Power Query, and Google Sheets. For process automation and AI I use Python and LLM-based tooling integrated with the systems you already run.
How long does a typical engagement take?
Data cleanup or reporting automation typically runs four to eight weeks. Fractional or interim support can run for several months. Most engagements start with the free audit: twenty minutes on a call, written findings within five days, no commitment needed.
Do you work on-site or remotely?
Both. I work with clients across the Netherlands, Belgium and France, in English, Dutch, and French. Most work is remote, with on-site available when the project requires it.
Not sure which one you need?
That's what the free audit is for. Twenty minutes, written findings in five days.