Power BI Consulting and Dashboard Development for Clearer Business Decisions

How do you keep the right people seeing the right data?

Inconsistent access and unclear ownership erode trust in reports faster than almost anything else. If two departments define "revenue" differently, the numbers get questioned, and the dashboard quietly gets abandoned.

• Row-Level Security (RLS) so people only see the rows they are entitled to, by region, department or customer group, without duplicating reports.
• Workspace governance with clear ownership, naming and lifecycle, so reports do not multiply into chaos.
• Consistent KPI definitions agreed once and reused, so a number means the same thing everywhere.
• GDPR-aware reporting: knowing where personal data flows, and controlling it at the model level.

This connects directly to our Governance & Security services, which cover the wider Microsoft Power Platform estate.

How do you choose the right Power BI licensing model?

Licensing is where good reporting quietly gets expensive. The right answer depends on your people and workloads, not on a product tier that sounds most impressive. We help you weigh the realistic options:

• Power BI Pro: per-user licensing, the standard fit when people author and consume reports within ordinary sharing needs.
• Premium Per User: per-user premium features where only some people need paginated reports, larger models or more frequent refresh.
• Microsoft Fabric capacity: organisation-level capacity that becomes attractive when you also need data engineering, warehousing or scalable analytics, not just reporting.

The trade-offs sit in your sharing model, refresh frequency, model size, reporting types and whether you have wider data workloads. Microsoft has been aligning premium capabilities toward Fabric capacities, so the decision is increasingly "Power BI on its own" versus "Power BI within Fabric."

We review your actual usage and growth plans, recommend a setup that fits, and explain what you are buying.

Will your team be able to manage this without us?

A reporting solution that only its author understands is a liability, not an asset. Our delivery is built around leaving you capable:

• Documentation of the data model, measures, refresh logic and assumptions.
• Handover sessions walking your team through how and why the solution works.
• Practical training on maintaining and extending reports.
• Ongoing support when you want it, not because you are locked in.

If you would rather we stay involved, our Support & Maintenance service covers that. The choice stays yours.

Can Power BI connect to the systems we already run?

Usually the bigger question is not "can it connect?" but "will the data be reliable?" Our integration capability covers the systems Dutch organisations most often work with:

How we connect depends on the source system, the refresh requirement and the quality of the data. A native connector may be enough, or a proper data pipeline may be the right answer.

Where deeper integration is needed, this work connects to our API & Data Engineering and System Integration services, and to our ERP & Business Applications expertise.

When does Microsoft Fabric make sense?

Microsoft Fabric is the right conversation when reporting is no longer your only data need. It brings data engineering, data science and analytics onto one platform with shared capacity.

For some organisations that is a clear win. For others, well-built Power BI on existing sources is simpler and cheaper. We treat Fabric as part of a data strategy rather than a technology project, helping you judge whether it earns its place, and when. That might mean better data pipelines before more dashboards, or capacity that also serves other workloads.

This thinking sits alongside our Architecture & Solution Design work, where technology choices follow business requirements.

How can you de-risk the decision before committing?

You do not have to fund a full programme to find out whether an approach works. A scoped proof of concept takes one meaningful slice, whether a data model, a security approach, a performance problem or the user experience, and proves it against your real data.

It gives stakeholders evidence rather than slides, and it either de-risks the rollout or tells you to change course early, while changing course is still inexpensive.

A practical first step when requirements, data quality or performance are still uncertain.