Most companies have data.
Few have decision systems.
Most organizations invest heavily in data infrastructure and dashboards — especially Power BI.
Yet despite all that effort, teams still argue about numbers, export data to Excel, or ignore dashboards altogether.
What’s missing isn’t data or tooling. It’s the decision layer: clear metrics, shared logic, and interfaces designed around how people actually make decisions.
This is where Power BI becomes powerful — not as a reporting tool, but as a decision interface. A place where logic, metrics, and design come together to support real business decisions.
Static & Retrospective
Dashboards show what happened last month — but not why it happened or what to do next.
Metrics are descriptive, not actionable, leaving teams stuck reacting instead of deciding.
Untrusted Metrics
Different dashboards show different numbers for the same KPI.
Without a shared semantic model, stakeholders lose trust — and decision-making moves back to spreadsheets and meetings.
Ignored by the Business
Dashboards exist, but adoption is low.
Interfaces aren’t designed for real workflows, ownership is unclear, and reports slowly drift out of relevance.
The result: dashboards technically work — but decisions still happen elsewhere.
I build the decision layer —
where data becomes action.
I specialize in building Power BI dashboards that translate complex data into clear, trustworthy signals for decision-makers.
My focus is the last mile of analytics: the semantic model, KPI logic, and visual interface where teams actually interact with data and make decisions.
Behind the scenes, my background across analytics engineering, modeling, and AI ensures that what looks simple on the surface is technically sound, scalable, and consistent underneath.
Clarity Sprint
Best for teams needing an immediate, professional executive overview.
What you get:
- One high-impact Power BI dashboard
- Core KPI definition (3–5 metrics)
- Clean UI with standard templates
- 1-hour handover & documentation
Investment
€2,500
Timeline
1 Week
Outcome: You finally see the signals in your data.
Decision Engine
Best for establishing a "Single Source of Truth" with trusted metrics.
What you get:
- Full semantic model (Star Schema)
- Complex DAX & metric logic
- Multi-page report with drill-throughs
- Custom CI/UX alignment
Investment
€6,000 – €8,500
Timeline
3–5 Weeks
Outcome: Leadership acts on numbers they actually trust.
Analytics System
Best for companies scaling their BI infrastructure as a backbone.
What you get:
- Multi-dashboard ecosystem
- Workspace & Deployment strategy
- RLS & Governance setup
- Performance tuning & optimization
Investment
€15,000+
Timeline
Project-based
Outcome: Reporting infrastructure that doesn't break at scale.
Strategic Enterprise
Best for complex data stacks, AI integration, and high-stakes modeling.
What you get:
- Agentic AI & LLM-ready models
- Predictive revenue/churn models
- Analytics engineering (dbt/SQL)
- Strategic advisory & roadmapping
Investment
Individually Scoped
Timeline
Partnership-based
Outcome: Data becomes a proactive competitive advantage.
Not sure which option fits? I’m happy to recommend the right scope after a short call.
Professional Standards
Every Power BI system I deliver follows a rigorous set of engineering, design, and communication standards to ensure long-term usability and audit-grade trust.
Institutional Design & UX
- IBCS-Aligned Visuals: High-density, professional reporting standards optimized for fast cognition.
- Figma Wireframing: Structural alignment on layouts and UX before a single line of DAX is written.
- Mobile-Ready Layouts: Responsive interfaces designed for decision-makers on the move.
- Modern UI Patterns: Clean spacing, typography, and hierarchy optimized for analytical workflows.
Fintech-Grade Engineering
- High-Efficiency Semantics: Performance-tuned data models (Star Schema/Kimball) for instantaneous loading.
- LLM-Ready Metadata: Models enriched with descriptions, making them fully compatible with AI/Copilot agents.
- Audit-Ready DAX: Robust, documented KPI logic that allows finance teams to trace every number to the source.
- Data Quality Checks: Built-in validation logic to flag data discrepancies before they reach the dashboard.
Governance & Quality
- Security-First Setup: Role-Level Security (RLS) implementation to ensure data privacy across the organization.
- Maintainable Architecture: Standardized naming conventions and structures for seamless internal handovers.
- Versioned Delivery: Clear change traceability and deployment cycles (Dev/Test/Prod) where required.
Process & Transparency
- Definition of Done (DoD): Clear requirements engineering so there is zero ambiguity on project scope.
- The Handover Vault: Comprehensive documentation and Loom video walkthroughs for long-term ownership.
- Structured Feedback: Iterative review cycles to ensure stakeholder alignment at every milestone.
Let’s design your decision system.
If your company has data but decisions still rely on gut feeling, we should talk.
Schedule Consultation