Data Foundations
Warehouses and pipelines, built once, governed properly.
- Bronze/Silver/Gold medallion on Microsoft Fabric
- dbt-based transformations with tests and lineage
- Source-to-warehouse pipelines (ERP, CRM, custom APIs)
Finance × Data EngineeringThe bridge between
The bridge between
finance and data.
Most finance teams are stuck between IT that moves too slowly and Excel sprawl they can’t escape. We build the full data layer: pipelines, warehouse, BI, and AI agents.
Stack
Microsoft FabricPower BIAnthropicAzuredbt
PIPELINE · LIVE
live · 5 sources
If this sounds familiar.
Your close runs on Excel and trust
Every month the same ritual: open files, refresh, manually check, forward by email. XLOOKUPs held together with prayer. When the person who built the model leaves, nobody knows where the formulas come from.
Shadow IT, because IT is too slow
Finance can’t wait three months for an IT ticket when month-end is in two days. So they build their own. In Excel, in Power BI, sometimes in tools they bought themselves. It works until it doesn’t, and then it’s an audit finding waiting to happen.
Everyone’s talking about AI. Where do you start?
You see what AI is doing in other functions. You don’t want a vague ‘AI strategy’. You want to know which problems are real today, which ones need foundations first, and how to avoid paying 3–5x markup for credit-based platforms that resell someone else’s model.
What we build
Four ways we work with finance teams.
From source systems to AI agents. One team.
Finance BI
Power BI semantic models that CFOs trust.
- Direct Lake models on top of your gold layer
- Finance-grade DAX: time intelligence, FX, allocations
- Executive dashboards: P&L, cash, working capital
AI Agents
Agents that do the work. With deterministic checks.
- AP automation, reconciliation, intercompany matching
- Forecasting copilots with variance commentary
- Predefined rules + deterministic checks. The AI decides what to do. The execution follows patterns we can verify.
- We don’t resell credits. You own the model choice.
Interim Services
Senior interim hands, with built-in AI and data expertise.
- Finance Director, FP&A lead, or Data lead
- Hands-on with AI agents, BI, and warehouses
- Plug into your team for 2–12 months
- Built-in data engineering capacity.
“The foundation you need for AI is the same foundation you need for reliable reporting. You don’t invest twice.”
Why us
Most consultancies pick a side. We don’t.
Data engineers build pipelines.
Most of them have never read a P&L. They build technically correct warehouses that miss what finance actually needs.
The technical side
Finance consultants write roadmaps.
They run workshops, produce slides, and hand the implementation to someone else. The ‘someone else’ is usually expensive and slow.
The finance side
We sit in between.
Tim runs finance functions. Djurre builds data infrastructure. We come from finance, so we know the urgency. We build like data engineers, so it’s scalable and documented.
Finthera.ai
Maturity check
Where are you on the journey from spreadsheets to agents?
2 minutes. 7 questions.
Find your stage
Answer 7 quick questions about your finance data setup.
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Founders
Who you’ll be working with.
No account managers. No handoffs.
Tim Hoogeveen
Co-founder · Finance
20+ years in finance leadership. Builds the reporting and planning systems behind board-level decisions.
Tim runs finance functions. Djurre builds data infrastructure. both, on every engagement.
Ready to stop maintaining spreadsheets and start building something?
A 30-minute call. We’ll discuss your stage, where it typically gets stuck, and what makes sense as a next step.