Data-driven improvement

You have more data than ever before. This training turns that data into decisions.

Data-driven improvement, a two-day training from the Supply Value Academy, teaches professionals in purchasing, supply chain and operations to support improvement decisions with data: from formulating the right question to analyzing, visualizing, and convincing colleagues with numbers. The training does not require statistical or programming knowledge.

Why this training

Between “we have dashboards” and “we focus on data”, there is a world of difference. Most organizations get lost in reports but still decide on a gut feeling, because no one bridges the gap between the numbers and the improvement action.

You build that bridge in two days. Not by becoming a data scientist, but by asking the right questions, performing analyses that have a broader impact, and presenting the results in a way that leads to action.

You can do this afterwards

  • You translate an ambition for improvement into a clear question and a measurable hypothesis.
  • You perform basic analyses yourself (e.g. spend, throughput, and performance analysis) and know when to engage specialists.
  • You visualize results that lead to action at a glance.
  • You build an improvement cycle in which data structurally determines the agenda, rather than the gut feeling.

Target group

Professionals in purchasing, supply chain and operations who want to substantiate and accelerate improvements with data, without having to be the data analyst themselves. Also suitable for a joint in-house launch of a data-driven improvement program.

Prerequisites: None; comfortable working with Excel is useful, nothing more.

Program

  • Getting your question clear: what do you really want to know (and why now)?
  • Finding, reviewing, and cleaning up data, without losing weeks
  • Hands-on analysis lab on realistic datasets from procurement and supply chain
  • Visualizing for decision-makers: fewer graphs, more message
  • Establishing the improvement cycle: from one-off analysis to structural management
  • Case study: Your own improvement question, analyzed and presented to the group

Trainer

Niek Wattel, Supply Value
Niek Wattel

Your trainers are consultants who implement data-driven improvement processes in supply chains and purchasing organizations, including Niek Wattel [verify]. They bring their own analyses along, including the failed first versions, because that’s where you learn the most.

Frequently asked questions

No. We work with accessible tools and focus on mindset and application. If you want to delve deeper into the analytical aspect, the KPI’s and dashboards training is a logical next step.

No. Excel is at best a tool. The training is about the question before the analysis and the action afterwards: exactly the two steps where data-driven working usually comes to a standstill.

Practical information

€ 1,395 p.p., excluding VAT

€ 3,950 per group per day (up to 8 participants; hall and catering provided by the client)

Duration
2 training days
Next date
11 February 2027
Location
Zeist (office), another location by arrangement, or in-house at your location
Training format
Open registration and in-house
Educational level
HBO/WO
Group size
Maximum of 12 participants
Study tax
Training days plus approximately 2 hours of preparation per day
Language
Dutch
Certificate
Certificate from the Supply Value Academy
Sector focus
All sectors
Bookability
Open registration according to the scheduled dates. Without scheduled dates, the training can only be booked in-house.
Included
Training material, certificate and lunch
Payment
Invoice immediately after registration; payment term 14 days

Prices exclude VAT · free cancellation up to 4 weeks in advance

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Start learning

Check the start dates and sign up.

Check the start dates and sign up. Feel free to bring your own dataset; the training will only get better that way.

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60 minutes of intake + 5 working days of analysis + feedback. Free of charge and without obligation.

We will contact you within 1 working day to arrange an intake date.