Many teams arrive at Power BI through experimentation: a few reports, some ad hoc models, a dashboard that slowly grows into something business critical.
At some point, the limits of trial and error become clear – performance problems, inconsistent KPIs, gaps in governance or dashboards that executives will not adopt.
Following proven Power BI experts is a way to shortcut some of that learning curve. Their blogs, videos and talks show practical patterns for modelling, DAX, governance and dashboard design that would otherwise take years to discover.
More importantly, many of these experts also provide services – from short advisory sessions and training to full implementation projects. Understanding what they actually offer is key if you are considering outside help.
The goal of this article is to connect those two sides. First, you will see a curated list of seven Power BI experts to follow, with links to where they share ideas.
Alongside each name you will also see the Power BI expert services they provide and the kinds of problems they typically solve.
That way you can both learn from their public content and know who to contact when you need deeper help.
Top 7 Power BI Experts to Follow (and the Services They Provide)
| Expert | Primary focus | Main channels to follow |
|---|---|---|
| David Giraldo (Simple BI Inc) | Stable executive reporting, KPI governance and resilient Power BI or Fabric setups. | LinkedIn. Simple BI blog. |
| Nicholas Mann (Stratos) | Commercial data strategy and analytics for life sciences FP&A and commercial teams. | LinkedIn. Stratos website. |
| Clare Kitching (Cambiq) | Data and AI strategy for executives, turning abstract ambition into measurable outcomes. | LinkedIn. Cambiq website. |
| Sebastian Hewing (Data Action Mentor) | Data team strategy for high growth firms. From dashboard factories to outcome driven data teams. | LinkedIn. Data Action Mentor newsletter and site. |
| Bas Dohmen (DataTraining.io) | UX driven Power BI design, visual storytelling and adoption. | LinkedIn. DataTraining.io. |
| Nick Valiotti, PhD (Valiotti Analytics) | Strategic Power BI for marketing, product and revenue teams through fractional CDO style leadership. | LinkedIn. Valiotti.com. |
| John Wernfeldt (Northridge Analytics) | Data governance, AI readiness and platform strategy for enterprise BI environments. | LinkedIn. Northridge Analytics website. |
Not all Power BI experts are the same. Some focus on deep data modelling and DAX, others on dashboard design, governance or training.
The seven experts below are a mix of practitioners, trainers and advisors you can learn from and, where relevant, engage for specialised Power BI services.
For each one you will later fill in who they are, where to follow them and what kinds of projects or services they are best suited to support.
1. David Giraldo, Founder of Simple BI Inc
David Giraldo is a Power BI, Azure and Microsoft Fabric consultant and founder of Simple BI Inc, a boutique analytics firm that helps BI and analytics teams keep executive reporting stable while reducing operational risk.
Yes, that’s me 🙂
I have saved over $500k for clients through 25 plus reporting and analytics solutions, and his work often spans the broader Microsoft stack, including the Power Platform.
Focus and expertise
I focus less on “pretty dashboards” and more on BI systems that survive real world pressure. Across my posts and downloadable playbooks I come back to themes such as:
- Avoiding single points of failure in BI teams, by making sure knowledge is documented and tested rather than held in one person’s head.
- Treating dashboards as decision products, with clear “what happened, so what, now what” narratives instead of raw charts.
- Tight KPI governance, including written metric definitions, owners, thresholds and visible change logs so that metrics do not drift silently.
- Measuring decision latency, not just refresh times, and designing reporting so key decisions can be made in seconds rather than days.
- Building resilient architectures on Power BI and Fabric for teams that already live in the Microsoft ecosystem.
Power BI services I provide:
My service lines cluster into several categories:
- Dashboards and reporting
- Design and rebuild of Power BI dashboards for executive and operational audiences.
- Performance tuning, “screenshot ready” layouts and standard templates for executive cards.
- Dashboard audits to simplify cluttered reports, remove unused features and align visuals with the key decisions a page should drive.
- Design and rebuild of Power BI dashboards for executive and operational audiences.
- Data analytics and semantic models
- Power BI and Fabric data modeling, including cleaning models, managing schema drift, separating executive and analyst views and reducing compute costs.
- Health checks on existing BI stacks to identify fragile dependencies, zombie tables and undocumented logic.
- Power BI and Fabric data modeling, including cleaning models, managing schema drift, separating executive and analyst views and reducing compute costs.
- Managed analytics and BI triage
- Ongoing “BI triage” and stabilization work, including setting KPI contracts, monitoring refresh reliability and stress testing dashboards before board meetings.
- De risking BI by running “bus tests” and role swaps so more than one person can operate and fix the reporting stack.
- Ongoing “BI triage” and stabilization work, including setting KPI contracts, monitoring refresh reliability and stress testing dashboards before board meetings.
- Business applications and automation on the Power Platform
- End to end workflows that combine Power Apps, Dataverse, Power Pages and Power Automate with Power BI reporting, for example replacing paper based processes in manufacturing or public sector grant approvals.
- Live operational dashboards that sit on top of these apps, giving leaders clear views of volume, SLAs and bottlenecks.
- End to end workflows that combine Power Apps, Dataverse, Power Pages and Power Automate with Power BI reporting, for example replacing paper based processes in manufacturing or public sector grant approvals.
- Nearshore staffing and embedded BI teams
- Nearshore pods of senior Power BI and Fabric engineers working in US time zones, often used by teams affected by H 1B and hiring constraints.
- Blended models where US based architects define patterns and Latin American engineers embed with the client to build and maintain solutions over time.
- Nearshore pods of senior Power BI and Fabric engineers working in US time zones, often used by teams affected by H 1B and hiring constraints.
These service areas map closely to the Simple BI menu structure, which lists solutions for dashboards and reporting, data analytics, managed analytics services, business applications and automation, plus staffing solutions.
Best fit for
Simple BI is typically a fit for:
- Mid-sized companies on Microsoft that already use Power BI, Azure and often the Power Platform, and now need to stabilize, govern and scale their analytics rather than just build a first dashboard.
- BI and data leaders under hiring or budget pressure, including teams affected by H 1B related delays who still need to ship dashboards, clean models and reduce backlog using nearshore capacity.
- Manufacturing and process heavy organizations that want to replace paper or email based tracking on the shop floor or in back office processes with structured Power Apps plus BI reporting.
- Executive teams worried about trust in numbers, where boardroom failures, competing versions of “revenue” or fragile KPI logic have already caused credibility issues.
In practice that means I tend to work where reporting is already business critical and failure is costly, rather than in early stage experimentation with Power BI.
Where to follow me
- LinkedIn. This is my primary channel, where I posts frequently about BI governance, KPI ownership, nearshore strategies, decision oriented dashboard design and practical checklists for BI teams. Many posts include downloadable PDF playbooks that expand on specific frameworks.
- Simple BI blog. The Simple BI blog hosts longer form guides on topics such as Power BI dashboards for non technical audiences, BI adoption roadmaps, BI implementation safeguards, project management and vendor selection, along with success stories from client engagements
Together these channels give a clear view of both my thinking and concrete Power BI services, which is useful if you are comparing different Power BI experts and deciding whose approach matches your current BI challenges.
2. Nicholas Mann. FP&A and Commercial Data Systems for Life Sciences
Nicholas Mann is the CEO of Stratos, a US based consultancy focused on commercial data and analytics for biotech, pharma and other regulated industries. His work sits at the intersection of FP&A, commercial operations and analytics. The Stratos team aggregates fragmented commercial data, builds trusted reporting environments and supports teams from launch readiness through in market optimisation.
Nicholas is a useful person to follow if you care about how analytics actually gets used. His posts focus less on individual Power BI tricks and more on the real problems FP&A and commercial teams face – unused dashboards, broken planning systems, manual Excel workflows, and poor alignment between technical teams and business stakeholders. He consistently highlights discovery, listening and process mapping as prerequisites to any successful analytics or BI implementation.
Where to follow him
- LinkedIn – regular posts on FP&A, commercial analytics and how to run data projects that get adopted
- Stratos website – case studies and service pages describing commercial data warehouse, reporting and enablement work
Core Power BI related services
Through Stratos, Nicholas and his team typically support clients with:
- Commercial data strategy and architecture. designing warehouse and semantic layers that reporting tools like Power BI can sit on top of
- Data integration and commercial data warehouses. aggregating specialty pharmacy, claims, patient services, CRM, financials and marketing data into a structured model
- Reporting and analytics. building executive and operational reporting for patient journey, sales performance, payer access, field reporting and incentive compensation, usually consumed through BI tools in the Microsoft or modern cloud stack
- Enablement and ongoing support. acting as an extension of internal analytics teams rather than a one off project vendor
Stratos mainly works with mid market and enterprise life sciences organisations, along with selected financial services, retail and manufacturing clients that need stronger performance dashboards and reporting.
Engagements usually start with a short discovery conversation and a custom implementation plan that covers scope, timelines and how Stratos will collaborate with internal teams.
Good fit if you need
- A commercial data warehouse and reporting layer that Power BI can plug into
- FP&A and commercial teams in life sciences who need trusted numbers for planning and executive reporting
- Help untangling complex third party data feeds and patient access metrics into clear, repeatable dashboards
- A long term partner that can advise, implement and enable, rather than a one off report build
3. Clare Kitching. Strategic Translator for Data and AI in the Enterprise
Clare Kitching is a sharp, articulate voice at the intersection of data strategy, AI adoption and business impact. Based in Australia, she brings a rare blend of deep technical understanding and real-world enterprise change experience—shaped by a decade at McKinsey and QuantumBlack, and now through her own firm, Cambiq. In 2024, she was named one of the Global Top 100 Innovators in Data & Analytics.
Clare’s superpower is helping leadership teams move from abstract data ambition to real, measurable outcomes. Her content consistently reframes technical problems in executive language, and her consulting does the same—bridging the gap between what data teams build and what the business actually needs.
Best places to follow Clare Kitching:
- LinkedIn – her primary platform, with standout posts on framing data strategy, integrating AI responsibly, and making dashboards land with executives
- Cambiq website – includes client services and strategic offers (no blog yet, but strong messaging)
Core Power BI and data strategy services Clare offers:
- Executive advisory on data and AI strategy
- Storytelling and dashboard alignment workshops for enterprise data teams
- Enablement programs to build internal capability in data product thinking
- Training in prompting, AI fluency and data value framing
- Embedded support to align analytics with real business questions
Typical clients and best fit:
Enterprises and large organisations with existing BI teams who need help turning data into business traction. Especially valuable for exec teams who feel stuck between tool hype and team confusion.
4. Sebastian Hewing. Fixes Broken Data Strategies for High-Growth Teams
Sebastian Hewing brings clarity to chaotic data teams. With 18+ years of experience and a background in both engineering and advisory, he helps mid-size and venture-backed companies stop being “dashboard factories” and start delivering real business outcomes with data. His positioning is direct and distinctive: build impactful data teams for the AI era.
Sebastian is especially valuable for teams drowning in tools and tickets but lacking traction. He focuses less on shiny tech and more on systems, workflows, and decision loops that make data teams effective and trusted.
Best places to follow Sebastian Hewing:
- LinkedIn – frequent posts packed with practical frameworks, sharp critiques of common data mistakes, and mindset shifts for data leaders
- Data Action Mentor – his newsletter and consulting site with resources on data team strategy, hiring, and stakeholder alignment
Core Power BI and data strategy services Sebastian offers:
- Data team strategy design – from org structure to backlog triage
- Executive-level advisory – especially for founders, C-levels and heads of data
- Coaching for analytics leads and data product managers
- Practical playbooks for improving stakeholder relationships and outcome-driven delivery
- Power BI ecosystem integration as part of a broader decision support strategy
Typical clients and best fit:
VC or PE-backed companies, growth-stage scale-ups, and data teams struggling with stakeholder trust or delivery overwhelm. A fit if you’re rethinking your data org or planning a relaunch.
5. Bas Dohmen. UX-Driven Power BI Design for Scalable Impact
Bas Dohmen is a Power BI design specialist with a laser focus on user experience, visual storytelling, and stakeholder adoption. With over 800,000 followers across platforms, he runs DataTraining.io, where he helps organizations move beyond clunky reports to deliver intuitive, high-impact dashboards. If your reports look like spreadsheets and feel like puzzles, Bas is the expert to follow.
His standout offering is the Power BI Design Transformation—a comprehensive program focused not just on what to build, but how to build it so people actually use it.
Best places to follow Bas Dohmen:
- LinkedIn – daily content on Power BI visuals, interactivity, design principles, and UX tricks
- DataTraining.io – flagship training program for report design and user-centric dashboarding
Core Power BI expert services Bas offers:
- Report UX redesigns that improve clarity, trust, and usability
- Design audits for existing dashboards (layout, interaction, adoption triggers)
- Training programs and workshops focused on Power BI storytelling and layout mastery
- Tutorials and templates for building modern, scalable report components
- PL-300 exam prep and beginner-to-pro training in Power BI development
Typical clients and best fit:
Analyst teams and BI developers in mid-sized to enterprise settings looking to improve dashboard usability, visual impact, and internal adoption. Great fit for product teams, finance, marketing or ops using Power BI as their primary interface.
6. Nick Valiotti, PhD. Strategic Power BI for Marketing, Product and Revenue Teams
Nick Valiotti isn’t just a Power BI consultant—he’s a fractional CDO and data strategist who helps teams turn dashboards into decisions. With a PhD in analytics and a sharp instinct for communication, Nick blends technical depth with business fluency to fix not just reporting—but the thinking behind it.
At Valiotti Analytics, his focus is clear: simplify, align, and accelerate how modern teams use Power BI. Whether you’re a SaaS product team, a growth-stage marketing org, or a founder overwhelmed by metrics, Nick brings clarity where dashboards have failed.
Best places to follow Nick Valiotti:
- LinkedIn – where he drops smart, sharp takes on data culture, BI dysfunction, and strategic reporting
- Valiotti.com – for his positioning, client stories, and consulting services
Core Power BI expert services Nick offers:
- Strategic BI architecture and dashboard consolidation
- Embedded fractional leadership as a CDO or head of analytics
- Power BI system redesign for marketing and product analytics
- Reporting overhauls for client-facing dashboards in agencies and SaaS
- Coaching for internal analysts to operate like revenue partners, not “data janitors”
Typical clients and best fit:
VC-backed startups, growth-stage SaaS companies, and marketing agencies drowning in dashboards but starved of insight. Also a great fit for companies looking to upskill their analysts or transition to a more strategic data model.
7. John Wernfeldt. Governance and AI Strategy Without the Fluff
John Wernfeldt brings clarity to the messiest parts of enterprise data. A seasoned consultant, ex-Gartner advisor, and President of DAMA Sweden, he leads Northridge Analytics with a sharp focus on data governance, AI readiness, and operational strategy for modern teams. His content is no-fluff, deeply technical, and cuts through hype with refreshing honesty.
John is not a Power BI visual builder—but he’s a crucial voice in designing the governance and architecture frameworks that make tools like Power BI reliable, scalable, and trusted across an org.
Best places to follow John Wernfeldt:
- LinkedIn – daily insights on AI, data governance, platform thinking, and infrastructure reality checks
- Northridge Analytics – his firm’s site with a clear services page and thought leadership
Core Power BI-related services John offers:
- Data governance frameworks that survive “first contact with reality”
- Metadata, lineage, and access strategies that support Power BI ecosystems
- AI readiness assessments and architecture consulting
- Platform audits to improve clarity, ownership, and scalability of BI solutions
- Board-level advisory on data quality, privacy, and governance maturity
Typical clients and best fit:
Enterprises and public sector orgs with tangled data landscapes, unclear ownership, or governance frameworks that look great on slides but break in practice. Also a great fit for teams scaling AI and looking to strengthen the data foundation underneath.
How to Choose the Right Power BI Expert for Your Organisation
Choosing a Power BI expert isn’t just about finding someone who can “make dashboards.” It’s about choosing a partner who strengthens your data foundation, elevates your reporting, and enables your teams to make better decisions faster.
The right hire depends on what your organisation truly needs — not what’s trendy on LinkedIn, and not what tools you think you should have.
Below is a practical framework to help you choose the right Power BI expert with confidence.
1. Start with your real business needs — not the job title
Before evaluating any expert, clarify what problem you’re actually trying to solve. Most organisations skip this step and end up hiring someone misaligned with their real challenges.
Ask yourself:
- Do we need better-looking dashboards?
- Do we need deeper insight and analysis?
- Do we need to fix data quality, governance, or modelling?
- Do we need to consolidate reports and reduce chaos?
- Do we need strategic guidance for scaling BI as a function?
The clearer the problem, the clearer the expert you need.
2. Match the problem to the right type of Power BI expert
Power BI experts come in distinct categories. Hiring the wrong one leads to frustration on both sides.
Visual Design & UX Specialists
Best for:
- Report redesign
- Data storytelling
- User experience improvements
- Visual clarity and adoption
These experts make your dashboards understandable, beautiful and usable.
Strategic BI & Team Enablement Experts (e.g., Simple BI)
Best for:
- Aligning BI with product, marketing, or revenue teams
- Turning analysts into business partners
- Building reporting systems, not one-off dashboards
- Improving decision-making across the organisation
These experts elevate analytics into the business, not the basement.
Data Governance & Architecture Experts
Best for:
- Fixing the underlying data foundation
- Ownership, definitions, lineage, access
- Ensuring Power BI is trustworthy and scalable
- Preparing for AI and advanced BI workloads
These experts solve the invisible problems that break dashboards.
Data Strategy & Leadership Advisors (e.g., senior fractional CDOs)
Best for:
- Organisational transformation
- BI team structure
- Roadmaps, operating models, and long-term planning
- Cross-department alignment
These experts help you build analytics as a competitive advantage.
3. Evaluate real-world experience, not theoretical skills
A strong Power BI expert should demonstrate:
- Case studies with measurable outcomes
- Experience in your industry or similar business model
- Ability to communicate business value, not just DAX
- Clear problem-solving frameworks
- Examples of long-term improvements, not short-term fixes
Avoid candidates who can only talk tools or only talk strategy.
The best blend both fluency in the business problem and the solution space.
4. Look at how they communicate — it predicts how they’ll deliver
Power BI is not just technical work. It’s teaching, influencing, storytelling, and translating data into action.
Strong indicators of the right expert:
- They explain concepts simply
- They don’t hide behind jargon
- They ask questions about your workflows, not just your tables
- They show curiosity about your environment before talking solutions
- Their content has clarity, consistency, and thoughtfulness
Communication predicts adoption — and adoption is the only metric that matters.
5. Assess their approach to collaboration and ownership
Great Power BI experts do not operate in isolation.
They should be able to work closely with:
- Analysts
- Data engineers
- Marketing and product teams
- Leadership and operations
- Governance or architecture teams
Ask them how they:
- Handle conflicting stakeholder needs
- Ensure adoption across teams
- Deliver solutions that stick
- Document and train users
- Align work to business priorities
The right expert makes your entire organisation better, not just your dashboards.
6. Align budget and scope with the level of expertise
Power BI talent spans a wide price range — from freelancers to fractional executives.
General guidance:
| Type of Expert | Typical Cost | When to Choose |
| Visual/UX Specialist | £60–£120/hr or fixed design fee | When your dashboards look bad or users don’t adopt |
| BI Developer/Modeler | £300–£600/day | When your models, DAX, or pipelines need help |
| Governance/Architecture Consultant | £800–£1,500/day | When data quality or trust is broken |
| Fractional CDO / Strategy Advisor | £2,000–£8,000/month | When you need BI as a strategic function |
The point isn’t to spend more — it’s to ensure the expertise matches your goals.
7. Test with a small, high-impact project
Before committing long-term, start with a scoped engagement:
- Redesign one dashboard
- Fix one data model
- Audit your BI environment
- Build a governance starter package
- Run a workshop with key stakeholders
This test:
- Reveals collaboration style
- Shows how quickly they add value
- Validates their problem-solving approach
- Provides clarity on how to scale the engagement
If they can’t produce impact in 2–4 weeks, don’t hire them for 6–12 months.
8. Choose someone who improves your team, not replaces them
The best Power BI experts:
- Teach as they build
- Document everything
- Create repeatable systems
- Reduce your dependency on them over time
You’re not buying dashboards. You’re buying capability.
A strong expert leaves your team more confident, faster, and more independent.
9. Trust your intuition — fit matters
Power BI is a collaborative discipline. You need someone who:
- You’re comfortable asking “basic” questions to
- Listens more than they speak
- Understands your pace and constraints
- Aligns with your culture and communication style
A great technical expert with poor communication will still fail. A great communicator with shallow experience will also fail.
You need both.
Where Simple BI Fits in the Power BI Experts and Services Landscape
As you’ve seen throughout this guide, different Power BI experts play different roles — from strategic advisors to modelling specialists to design-focused creators. Simple BI sits alongside these experts with a clear and focused purpose:
We help organisations build Power BI systems that are simple, reliable, and aligned with how the business actually works — without unnecessary complexity or enterprise overhead.
If your team is struggling with cluttered dashboards, inconsistent metrics, slow reports, or a growing backlog of “quick fixes,” Simple BI fills the gap between DIY attempts and large consulting firms. Our work blends strategy, modelling, design, and lightweight governance into practical solutions your team can actually use and maintain.
Typical ways we help:
- Streamlined, trustworthy reporting for operations and leadership
- Clean, scalable data models that eliminate confusion
- Dashboard redesigns focused on clarity and adoption
- Governance-lite standards that prevent chaos before it starts
- Short, high-impact advisory or project engagements
If this sounds like the kind of Power BI support your organisation needs, we’re ready to help you move forward with confidence — whether that’s a quick review, a focused project, or ongoing guidance.
Book a call to discuss a Power BI challenge you’re facing
A better Power BI system doesn’t have to be complicated — it just has to be designed with clarity. Let’s build that together.
