Boutique, Specialized Focus
Lean and hands-on. Senior consultants directly involved — never junior pass-downs.
Stack Specialization
Microsoft FabricPower BIDatabricksAzure Data ServicesOneLakeSynapseSQL ServerData FactoryPurviewAzure MLMicrosoft FabricPower BIDatabricksAzure Data ServicesOneLakeSynapseSQL ServerData FactoryPurviewAzure ML
The strategy
One platform. Seven moving parts working together.
A real data strategy isn't seven separate projects — it's one central platform with seven focus areas feeding it. Filter by pillar, then open any area to see the challenge, our approach, and the services that deliver it.
Central Data PlatformOne source of truth
Data FoundationCapture · Govern · Integrate
Business IntelligenceReport · Insight · Forecast
AI & AutomationAssist · Automate · Orchestrate
Click any focus area for the full breakdown
Our Differentiators
Why teams choose Dataracity.
Choosing the right BI partner goes beyond technology — it takes hands-on senior leadership, proven frameworks, and a relentless focus on long-term value.
Microsoft-First, Cross-Skilled
Deep in Fabric, Power BI, and Azure. Cross-skilled in Databricks.
The STEAM Framework
Scalability, Transparency, Efficiency, Accuracy, Maintenance — baked into every build.
Battle-Tested Experience
Large data volumes and complex enterprises — financial services, construction, retail.
Practical Governance
Governed, reliable, sustainable BI — we prevent missed SLAs and wrong-number issues.
Our Approach
What used to be seven services is now one data strategy.
Data capture, integration, reporting, and AI & automation come together on a single governed platform. Step through how it builds up, then explore any focus area.
Capture & quality
Data Platformone source of truth
Knowledge base
BI & reporting
Data products
AI & automation
Data culture & engagement
Step 1 of 6 · CaptureGood data starts at the source
Operational systems feed one capture layer, where data is validated and quality-checked on entry.
Use cases
Business Intelligence (BI) for Your Industry
Every industry has unique challenges, opportunities, and data needs. Discover how Business Intelligence can help your organization turn data into actionable insights, improve decision-making, and uncover opportunities for growth.
01Use case
Construction
Track project performance
Labour productivity, budgets, and schedules with real-time dashboards that keep every stakeholder aligned from the jobsite to the executive team.
Follow the usecase02Use case
Manufacturing
Monitor production
Quality, downtime, and inventory with operational analytics that help improve efficiency and reduce manufacturing costs.
Follow the usecase03Use case
Finance
One client record
Unify financial data from across your business to deliver accurate reporting, executive dashboards, and faster, more confident decision-making.
Follow the usecase04Use case
Healthcare
One patient encounter
Bring together clinical and operational data to improve patient outcomes, monitor performance, and simplify regulatory reporting.
Follow the usecase05Use case
Marketing
Marketing Performance Analytics
Measure campaign performance, customer engagement, and marketing ROI with dashboards that connect every marketing channel into a single source of truth.
Follow the usecase06Use case
Retail & eCommerce
Sales & Customer Analytics
Monitor sales, inventory, customer behaviour, and product performance with real-time insights that help increase revenue and improve customer experiences.
Follow the usecase07Use case
Real Estate
Portfolio Performance Analytics
Track property performance, occupancy, leasing activity, and financial metrics to make faster investment decisions and optimise portfolio returns.
Follow the usecase08Use case
Automotive
Dealer & Operations Analytics
Gain visibility into dealership performance, inventory, service operations, and sales trends to improve efficiency across the automotive business.
Follow the usecaseWhat clients say
Testimonials.
How we helped our clients grow
Building an enterprise-grade business intelligence platform is no small undertaking, and finding a partner who can match both the technical complexity and the operational reality of your business is even harder. Dataracity did both. They navigated integration challenges across six disparate systems without losing sight of the bigger picture, and their command of the Microsoft stack meant we weren't spending cycles educating them on fundamentals. What set them apart was the strategic layer they brought — they weren't just executing tasks, they were thinking alongside me about what this platform needed to do long-term. We now have end-to-end operational metrics with clarity we've never had before — leadership can directly connect that data to P&L performance in real time. I would recommend Dataracity without hesitation.
Arthur L. Burris Jr.
Director, Enterprise Architecture, BI & Process Innovation
We engaged Dataracity to lead the design and recommendation phase of one of our client's enterprise data architecture projects on the Microsoft platform. From the outset their expertise was evident — they introduced us to Microsoft Fabric and provided a robust framework rooted in industry best practices. Beyond high-level strategy, they delivered tangible assets including detailed system architecture diagrams, data flow charts, and comprehensive price modeling. Their technical execution is just as impressive as their strategic planning. I highly recommend Dataracity for any organisation looking to modernise their data stack with precision and clarity.
Shelly Jantzen
Founder · E2 Consulting
Dataracity's approach was consistently collaborative and thorough. They took the time to listen to our concerns and crafted reports that aligned with our needs while also incorporating their expert recommendations. The Power BI reports they developed have become essential to our daily operations — we rely on them to make informed decisions and drive growth. These reports have transformed our data into actionable insights, allowing us to operate more efficiently and effectively. Working with Dataracity was a fantastic experience. Their professionalism and genuine commitment to helping us succeed were clear from start to finish — they truly exceeded our expectations.
Kristen Polsinelli
Architectural & Design Sales Manager
Our teamMeet the full team
Meet Our Team
A snapshot of the people behind your engagement — full bios and roles live on the team page.
Luke Matthews
Co-Founder, Head of Project Delivery & Data Architecture
Amanda Buthelezi
Co-Founder, Project Lead (BI & Data Strategy)
Boris Keckarovski
Data Engineer & Business Intelligence Consultant
Filip Bukvić
Business Intelligence Consultant
Elena Aceska
Business Development & Operational Assistance
Estella Doulis
Business Intelligence Consultant
Case studies
Work we've done with teams who needed it to actually work.
All case studiesMicrosoft FabricRead case study
End-to-end Fabric rollout for a national retailer
Stood up a unified lakehouse, retired four legacy warehouses, and shipped the first executive dashboard inside the quarter.
12wk
To first executive view
4
Legacy warehouses retired
78%
Faster refresh time
Let's build something your team can trust.
Thirty minutes with one of our data partners — we'll map your stack, your goals, and the shortest path between them.
InsightsAll insights
Practical writing on analytics environments
On Microsoft Fabric, Azure, Power BI architecture, and operating an Analytics or BI estate.
The Ideal Analytics/ Business Intelligence Environment
Data & Analytics StrategyMost BI environments are not short of dashboards. They are short of predictability. This is the architecture, the controls and the operating habits that separate a reporting estate that runs itself from one that consumes a team.
August 11, 2026Read
Fabric Isn't a Magic Button: What BI Leaders Need to Know Before They Commit
Microsoft FabricTeams often turn to Fabric expecting instant simplification, but without structure it simply rebuilds old problems in a new place. Real success comes from the foundation underneath, your warehouse, semantic layer, business rules, modeling, and transparent pipelines. With these in place, Fabric finally delivers the value leaders expect.
January 5, 2026ReadWhy a Star Schema Still Wins in a Fabric World
Microsoft FabricQuick fixes work only until your BI environment grows. Star schemas create structure that survives new systems, more KPIs, and rising complexity. By centralizing business rules, clarifying relationships, and keeping logic consistent, star schemas prevent the chaos that patchwork modeling creates. Built on STEAM principles, they form a stable, scalable foundation that keeps reporting accurate and maintainable as the business evolves.
January 19, 2026Read