I did not leave technology behind. I added the human to the equation.

I work across Power BI, Microsoft Fabric, AI, data architecture, training and the way data teams actually work. Sometimes the answer is technical. Sometimes it is about ownership, capability or decision-making. Often it is both.

What challenge are you trying to solve?

You do not need to decide whether you need consulting, training, mentoring or a workshop before we talk. Start with what is not working, what needs to change or what you are trying to build. We can choose the right format afterwards.

Something already exists — but it is slow, fragile, confusing or harder to maintain than it should be.

Power BIAuditPerformance

Power BI Health Check

Is your Power BI environment becoming slower, harder to maintain or more complex than it should be?

For
BI teams · Report owners · Data leaders
Time
2–5 working days
You leave with
Prioritised findings, quick wins and a clear improvement plan.
See how it works
Power BISemantic ModelsPerformance

Semantic Model Health Check

Is the model underneath your reports helping you — or quietly creating technical debt?

For
Power BI developers · BI teams · Model owners
Time
1–3 working days
You leave with
A clearer, leaner and more maintainable model direction.
See how it works
Power BIUXBusiness Value

Dashboard Rescue

The report exists. But can people actually use it to make decisions?

For
Business teams · Report owners · BI teams
Time
3–7 working days
You leave with
A clearer report experience built around decisions, not visual inventory.
See how it works
Power BIDAXPerformance

DAX Performance Clinic

Your measures work. But do they need to be this complicated?

For
Power BI developers · Advanced analysts
Time
1–3 working days
You leave with
Cleaner patterns, better performance and a clearer calculation layer.
See how it works
Power BIPower QueryData Preparation

Power Query Cleanup

Does every source change create another Power Query problem?

For
Analysts · BI developers · Report owners
Time
1–3 working days
You leave with
Cleaner transformations and a more deliberate data-preparation layer.
See how it works

Make the important decisions before complexity becomes technical debt.

FabricArchitectureData Platform

Fabric Architecture Review

Are you building in Microsoft Fabric — but unsure whether the architecture will still make sense when the solution grows?

For
Data teams · Architects · BI leaders
Time
3–7 working days
You leave with
Clear architectural recommendations, risks and trade-offs.
See how it works
FabricMigrationStrategy

Fabric Migration Readiness

Should you move to Fabric — and if so, what should actually move first?

For
Organisations considering or starting Fabric adoption
Time
3–5 working days
You leave with
A migration sequence grounded in business and technical reality.
See how it works
FabricCapacityFinOps

Fabric Capacity Review

Are you paying for the right Fabric capacity — and using it wisely?

For
Fabric administrators · Platform owners · BI managers
Time
2–4 working days
You leave with
A clearer picture of what consumes capacity and what can be changed.
See how it works
Power BIGovernanceTeams

Power BI Governance Starter

You need governance. You probably do not need a 70-page governance document.

For
BI leaders · Administrators · Data teams
Time
3–5 working days
You leave with
Practical rules and ownership your organisation can actually follow.
See how it works
Power BIFabricGovernance

Workspace Strategy Sprint

Personal, team, departmental, DEV, TEST, PROD — what should actually go where?

For
Power BI / Fabric administrators · BI teams
Time
2–4 working days
You leave with
A workspace structure that supports ownership, lifecycle and scale.
See how it works

The technology may work. The next bottleneck is often ownership, adoption or the way people work together.

Power BISelf-Service BITeams

Self-Service BI Reset

You wanted self-service analytics. Did you accidentally create self-service report chaos instead?

For
BI leaders · Data teams · Organisations scaling Power BI
Time
1–3 weeks
You leave with
Clear roles, boundaries, enablement and governance for sustainable self-service.
See how it works
Power BICoEGovernance

BI Center of Excellence Starter

Do you need a Center of Excellence — or simply a better way to coordinate BI?

For
BI managers · Data leaders · Platform owners
Time
1–2 weeks
You leave with
A CoE model with clear services, roles, community and priorities.
See how it works
Power BIAdoptionTeams

Power BI Adoption Check

You deployed Power BI. Why are people still exporting everything to Excel?

For
BI leaders · Transformation teams · Business functions
Time
3–5 working days
You leave with
A clearer understanding of why adoption stalls and what to change.
See how it works
TeamsDataOpsWays of Working

Data Team Ways of Working

Your people are capable. Why does delivering data products still feel harder than it should?

For
BI teams · Analytics teams · Data leaders
Time
1–2 weeks
You leave with
Clearer ownership, decision points and a more deliberate delivery flow.
See how it works
Power BITeamsRequirements

Report Requirement Reset

Are you building exactly what stakeholders asked for — and still missing what they actually needed?

For
Analysts · BI developers · Product owners · Business stakeholders
Time
1 working day
You leave with
Clear business questions, decision needs, assumptions and success measures.
See how it works

Move beyond AI demos. Find where it creates real value — and where it does not.

AIStrategyReadiness

AI Readiness Check

You want to use AI. Is your organisation actually ready to use it well?

For
Business leaders · Data teams · IT teams
Time
2–5 working days
You leave with
A realistic view of opportunities, constraints and priorities.
See how it works
AIDiscoveryBusiness Value

AI Use Case Discovery

Where could AI genuinely save time or improve decisions in your organisation?

For
Business teams · Operations · Data & IT leaders
Time
1–2 working days
You leave with
A prioritised backlog of realistic AI opportunities.
See how it works
AIData TeamsTraining

AI for Data Teams Sprint

How can analysts and developers use AI without turning their workflow into prompt roulette?

For
BI teams · Analysts · Data professionals
Time
1–2 days
You leave with
Repeatable AI workflows your team can use immediately.
See how it works
AICopilotAdoption

Copilot Adoption Sprint

You enabled Copilot. Now what?

For
Organisations introducing Copilot into Power BI, Fabric or data workflows
Time
3–7 working days
You leave with
Relevant use cases, enablement scenarios and a practical adoption plan.
See how it works
AIGovernanceTeams

AI Governance Starter

How do you encourage people to use AI without creating a governance mess?

For
Data leaders · IT · AI adoption teams
Time
3–5 working days
You leave with
Clear principles people can actually apply in day-to-day work.
See how it works

Sometimes the next improvement does not require another tool. It requires better thinking, stronger capability or a different conversation.

Power BITrainingTeams

Power BI Team Bootcamp

Your team knows Power BI. But does everyone work from the same foundations?

For
BI teams · Analyst teams · Internal Power BI communities
Time
1–3 days
You leave with
Stronger shared practices, practical skills and fewer avoidable mistakes.
See how it works
Power BIWorkshopRequirements

Ask Before You Build

What if the most valuable Power BI skill is knowing when not to start building yet?

For
Analysts · BI developers · Product owners · Business teams
Time
3–6 hours
You leave with
A repeatable questioning framework your team can use before development begins.
See how it works
Power BIFabricMentoring

Technical Sparring

You do not need someone to build it for you. You need someone experienced to challenge the decision.

For
Senior developers · Architects · BI leads · Data leaders
Time
60–90 minutes per session
You leave with
A clearer decision, challenged assumptions and a second expert perspective.
See how it works
MentoringData CareerTechnical Growth

Data Professional Mentoring

You know the tools. What should you develop next?

For
BI developers · Analysts · Data professionals
Time
4–8 weeks
You leave with
A clearer development direction, expert feedback and practical next steps.
See how it works
CoachingLeadershipData

Data Leader Coaching

The technical part may no longer be the hardest part of your role.

For
Team leads · Managers · Aspiring data leaders
Time
6–12 weeks
You leave with
More clarity around leadership, decisions, boundaries and your own way of leading.
See how it works

Training starts with what people need to do differently afterwards.

Power BI, Microsoft Fabric, DAX, Power Query, data modelling, AI, Copilot, DataOps and ways of working — shaped around the team, its current level and the situations people actually face at work.

Focused workshop · full-day training · team bootcamp · multi-session programme · training + office hours

Explore tailored training

Different problems need different ways of working.

I keep the format explicit because consulting, technical sparring, mentoring and coaching are not interchangeable.

01

Consulting

You want expertise, analysis and a clear professional recommendation on what I would change and why.

02

Technical sparring

You already own the problem and the decision. You want an experienced second perspective to challenge assumptions and compare trade-offs.

03

Training & workshops

The organisation does not only need an answer. The team needs to understand the topic and work differently afterwards.

04

Mentoring

You want to develop capability with guidance from someone who has worked with the technology and the problems you are facing.

05

Coaching

You do not need my technical answer. You need space, challenge and questions that help you find your own answer and take responsibility for what comes next.

Sometimes you need your own answer. Sometimes you need an expert.

In coaching, I do not tell you what decision to make. In consulting, giving you a clear expert recommendation may be exactly why you invited me. In mentoring, I can share my own experience. In technical sparring, we can challenge a decision together.

The method follows the problem.

176h

documented teaching hours

Business Intelligence & AI — training, workshops and work across multiple programme editions.

80h

in-house training

Delivered for organisations including the pharmaceutical and wind energy sectors.

100+h

1:1 mentoring

Individual work with people developing Power BI, BI and analytics capabilities.

20

documented programme editions

Multiple participant cohorts, live sessions, workshops, Q&A and practical exercises.

View confirmation of documented teaching hours

Some of these challenges are also the ones I speak about.

Self-service BI, AI and Copilot, DataOps, requirements, Power BI and Fabric all become more interesting when we look at the system and the people working inside it.

Upcoming talks

Conferences and events where I’ll be sharing experience across Power BI, Microsoft Fabric, AI, self-service BI and the human side of working with data.

November 17, 2026
Budapest BI & Analytics Forum 2026Budapest, Hungary
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PREVIOUS EVENTS

Past events

September 26, 2026

Ask, Don’t Build: The Coaching Questions That Save Your Power BI Project

September 24–26, 2026
Baltic Summit 2026Gdynia, Poland

Copilot Won’t Fix Your Chaos: Rethinking Data Work in Fabric Era

May 2026
Power BI Day IIOnline

Event co-host

January 31, 2026
Data Toboggan — Winter EditionOnline

Navigating the Semantic Seas: Optimizing Power BI Models for Capacity, AI, and Calm Waters

October 2025
Power BI DayOnline

Power BI Copilot — from the perspective of a business user, developer and admin

Technology runs in systems. Organisations run through people.

A technically correct solution can still fail through unclear ownership, poor adoption or the wrong problem being solved. A motivated team can still struggle with architecture that creates friction every day. That is why I work at both levels.

The scope follows the problem, not a predefined package.

Some services have a natural timebox. Others may evolve once we understand the problem. I make the scope, expected outcome and way of working clear before we start.

You do not need a formal brief. A few sentences about what is happening, what you have already tried and what you would like to change are enough to begin.

Tell me what you are trying to solve

Send me a message.

You do not need a polished brief. Whether the topic is Power BI, Fabric, AI, team training, mentoring, coaching or simply a challenge that needs untangling, leave a few details and we can start from there.

SIGNALMESSAGECONVERSATION

AI & TRANSPARENCY

AI supports selected parts of my work — it does not replace my judgement, responsibility or relationship with the client.

I use AI tools for tasks such as research, organising information, structuring content and preparing materials. I treat AI as support for my work — not as an autonomous author or decision-maker. Anything I publish or use professionally remains my responsibility.

In coaching, I do not use AI to automatically assess, diagnose or make decisions about a client. AI does not replace attention, confidentiality or human responsibility for the coaching relationship.

AI may support the process. Human responsibility remains.