Power BI implementation that ends with better decision-making, not yet another dashboard
From AFAS, Exact, Excel, CRM or other sources to one reliable set of definitions and dashboards. We start with the decisions you want to make, and only then build the model, report and management process.
Fixed price upfront based on sources, data models, KPI definitions, reports, security and maintenance. No open-ended hours budget.
Start with one decision domain. Source → model → validation → dashboard → user readback → production.
Definitions, models, documentation, and access stay with your organization; no black-box dashboard where nobody can explain the figures.
30 minutes, no obligation. We start with the decision question and source quality. If a new dashboard does not solve the problem, we do not recommend it.
Where Power BI projects really get stuck
Revenue, margin, order, customer, and FTE mean different things in every department.
Excel files and exports change while the dashboard pretends everything is reliable.
After go-live, no one knows who manages the KPI logic, data quality and permissions.
Method
- Document decision questions and KPI definitions.
- Check sources, quality, and refresh path.
- Build a semantic model with explainable definitions.
- Test reports with users and source figures.
- Secure ownership, security, refreshes, monitoring, and a change process.
Decision framework
A KPI is only green if the dashboard figure can be traced back to its source and definition and reproduced.
“We already have dashboards.” Then the question isn’t how many dashboards there are, but whether one number has one meaning and leads to a decision.
PBIX/model, definitions, documentation and governance agreements remain transferable and explainable. Read about what AI can and cannot deliver on top of this in AI in BI. If your figures are in Exact, see Connecting Exact Online.
The way it works now
- The appointment is in one colleague's mailbox
- Data is manually retyped from one system to another
- The person who knows is on vacation
- No one can see afterwards why this decision was made
As it is
- The agreement is stored with the client, findable for everyone
- Once entered, information flows through to the rest
- Work continues, even if someone is absent
- Every decision has a source, an owner, and a date
What is your next step?
Also good to know: frequently asked questions · security and data · terms and conditions · partners · research and figures · templates · what's changing · where you start
Where does the process break down in practice?
You have dashboards, but metric definitions, source data and decisions do not align. Who uses which KPI to make real decisions?
Direct answer
First make the real bottleneck, the owner and the desired outcome explicit. Then choose the smallest working solution and measure whether it demonstrably delivers value.
What we do
We connect analysis, business intelligence, data and execution so you don't get stuck in advice or loose tooling.
How it works
- We clarify the current situation, data and the real bottleneck.
- We determine the smallest working solution, owner and measurable outcome.
- We implement or prioritize the next step and verify the result.
- We secure what works and stop or fix what doesn't work.
What you get
A concrete analysis, priorities, decision criteria, an executable next step and visibility into what needs to be built, integrated or secured next.
For whom and whom not
Right for Dutch SMB organizations that want to solve a concrete process, knowledge, data or AI problem. Not for organizations looking only for a generic tool demo or unproven AI promise.
Costs and choice
Price and scope depend on the chosen next step. View the current fixed packages and pricing logic at pricing for digitization.
Risks and concerns
We work step by step, make assumptions and ownership explicit, use only the minimum necessary data, and maintain human control over decisions and execution.
Frequently asked questions before you decide
Does everything have to be done at once?
No. The preference is one clearly defined problem with a measurable outcome, then scale up.
What does it cost?
The current pricing and package logic is on the pricing page; custom work is only chosen if the scope really requires it.
How do you prevent a trajectory without results?
By defining the problem, owner, success metric and stop criteria in advance, and doing readback and verification after each step.
How we assess your situation
We map your current process, systems, exceptions and costs. Only then do we advise whether an off-the-shelf solution, a custom integration or another approach makes sense.
From comparison to business value
Continue with the implementation, governance or commercial step that fits this topic.