Consulting
BI and data engineering, delivered end to end.
Most BI projects fail between the requirements and the dashboard. I remove the handovers: one person who talks to your stakeholders, architects the warehouse, builds the pipelines, ships the dashboards, and trains your team to use them.
How an engagement runs
From question to working dashboards.
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01
Understand
Workshops with your business users to understand what decisions the data must support, and turn that into clear, actionable requirements.
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02
Architect
Design the solution to fit your budget and team - open source where it saves money, cloud where it earns its cost.
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03
Build the warehouse
Deliver the data warehouse, marts, and cubes - with pipelines that keep them fresh and tested.
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04
Ship dashboards
Story-driven BI dashboards that answer the original business questions - not chart collections.
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05
Train
Hands-on training for business users so the solution gets used, and data literacy grows across the organization.
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06
Maintain
Ongoing maintenance and iteration - most of my clients stay for years, not projects.
Stack
Two stacks, one principle: fit the tool to the budget.
Open source
Lean, fast, and owned by you. My preferred stack for small and mid-sized organizations.
- PostgreSQL
- dbt
- dlt
- Evidence
- Python
Commercial
When you are already in the Microsoft ecosystem, or need enterprise scale.
- Azure Synapse
- Microsoft Fabric
- SQL Server
- SSIS
- Power BI
Track record
Clients I have worked with.
- Sorainen
- OP Corporate Bank
- Girteka
- Finėjas
- Gym+
- Medexy
- Goindex
With Beyond Analysis (UK): NHS Professionals, Informa Markets.
Before consulting: 18 years in data and analytics - from banking strategy at Nordea to Head of Data and Analytics at Luminor and Head of Management Reporting at Girteka.