Available for Power BI projects

BI dashboards that make decisions obvious.

I help companies replace messy reporting with fast, reliable Power BI dashboards — built on clear KPIs, clean data models, SQL reporting layers and documented logic.

Power BI DAX SQL Layer KPI Framework Data Quality
Executive KPI Dashboard
Revenue €1.84M +12.8%
Margin 31.4% +4.1%
Forecast 94% on track
Performance by month SQL + DAX model
Reliable model

Clean star schema, documented measures and refresh-ready datasets.

Actionable KPIs

Clear definitions, ownership, thresholds and drilldowns for details.

Services

From raw data to leadership-ready reporting.

I focus on practical BI delivery: dashboards, KPI definitions, data models, SQL reporting layers, performance tuning and data quality checks.

Power BI dashboards

Modern executive and operational dashboards with clear visual hierarchy, drilldowns, filters, RLS-ready structure and performance-focused design.

Usability
92%
Speed
86%
Clarity
95%
Executive view Operational drilldown RLS Performance
ƒx

KPI framework

Metric definitions, calculation rules, ownership, targets and one shared version of truth across teams.

KPI dictionary Ownership
SQL

SQL reporting layer

Stable views, reporting tables, validation logic and clean datasets for Power BI.

Views Stored logic

Data quality & governance

I add validation rules and documentation so users understand what the report shows, what it does not show, and where the data comes from.

Validation rules for important dimensions and KPIs
Clear documentation for model, measures and refresh logic
Better trust in numbers across departments
Deliverables

Concrete outputs, not vague consulting.

The goal is simple: something your team can actually use every week. Clear model, clear KPIs, clean dashboards and documented handover.

01

Executive KPI dashboard

Top-level overview for leadership with trends, alerts and drilldowns.

Management reporting Drilldowns
02

Data model + DAX

Star schema, clean relationships, reusable measures and optimized refresh logic.

Star schema Measures
03

Documentation

Metric dictionary, model notes, refresh logic and handover material.

Handover Governance
Packages

Clear starting points.

Pricing depends on scope, data sources and required complexity. These packages make the initial discussion faster.

Fast start

MVP Dashboard

1–2 weeks

For companies that need the first useful dashboard quickly.

  • 6–10 KPIs
  • 1–2 data sources
  • Core model + measures
  • Basic documentation
Audit

KPI & Model Audit

3–5 days

For existing reports that are slow, inconsistent or hard to trust.

  • KPI definition review
  • Model and DAX audit
  • Performance recommendations
  • Roadmap + quick wins
Process

Simple delivery flow.

Short feedback cycles, early preview, transparent scope and final handover.

1

Kickoff

Goals, KPIs, users, data sources, refresh needs and expected output.

2

Prototype

First working version with core KPIs, model and dashboard layout.

3

Iterate

Feedback, improvements, performance tuning and additional logic.

4

Handover

Documentation, walkthrough and next-step recommendations.

FAQ

Before you message me.

The fastest way to start is to send a short LinkedIn message with your current reporting problem.

Can you work with Excel exports?

Yes. Excel can be used as a starting point, but for long-term reporting I usually recommend a stable SQL or governed dataset layer.

Do you only build dashboards?

No. I also help with KPI definitions, model structure, SQL reporting views, DAX logic, performance issues and documentation.

Can you fix an existing report?

Yes. I can audit slow visuals, inconsistent measures, broken relationships, refresh issues and unclear KPI definitions.

How should I contact you?

LinkedIn only. Send the business area, data sources, users, deadline and refresh frequency.

Contact

Want a Power BI dashboard your team will actually use?

Send me a short LinkedIn message and I will help you define the scope: dashboard goal, KPIs, data sources, users and timeline.

01. Business area — sales / finance / operations / other
02. Data sources — ERP / CRM / Excel / SQL / other
03. Users — leadership / operations / analysts
04. Deadline and refresh frequency
LinkedIn Message on LinkedIn