Most real estate companies sit on top of years of operational data — spread across PMS, ERP, and PPM systems — but without a transformation layer that makes it consistent and AI-ready, that data cannot be used to make reliable decisions.
Before you can use your data, you have to be able to trust it. Most teams can't — because of three structural problems that no dashboard or AI tool can fix on its own.
Logging into 6–7 systems to build one report is the norm. Every team sees a fragment. Nobody sees the whole. Decisions get made on incomplete information — and nobody realises it until something goes wrong.
When your controller is busy, everyone waits. When they leave, knowledge leaves with them. Critical reporting capability should not live inside one person's head — or one person's spreadsheet.
Every reporting cycle starts with copy-pasting into Excel. Decisions worth hundreds of millions rest on unverified data. A 200,000 NOK data error is worth 4.4 million NOK in reduced property value at a 4.5% yield — and errors like this go undetected for years.
Point a general-purpose model at raw ERP data and it will give you confident, wrong answers. The model has no way of knowing that your system uses inconsistent tenant identifiers, that your cost categories are unmapped, or that Norwegian commercial real estate operates under CPI indexing, Standard 34 leases, and system-specific quirks in Fenistra, Xledger, and Fazile that no language model was trained on.
AI is a powerful layer — but only on top of clean, structured, domain-specific data. Without that foundation, you are not getting intelligence. You are getting hallucination served confidently.
The transformation layer is the product. Dashboards and AI are the frosting. And frosting cannot save a bad cake.
Over seven years and 200+ individual transformations built specifically for Norwegian commercial real estate, ebba has built that layer so you don't have to.
The data layer is the cake. The dashboards, the reports, the AI — that is the frosting. Frosting on a bad cake is still a bad cake.
— CFO, large Norwegian property company
Three steps. No exports. No manual work. From raw source systems to trusted insight — in under a month.
Connects directly to your source systems — PMS, ERP, PPM, and more. Data flows in automatically. No exports. No manual steps. No waiting for someone to pull a report.
A purpose-built data warehouse for Norwegian commercial real estate. Clean, consistent, quality-controlled — every number traceable to its source. AI-ready from day one.
An AI analyst assistant grounded in your standardised data model. Ask real questions. Get instant, auditable answers — available to everyone on your team, not just the one person with the spreadsheet.
From day one.
No setup phase that costs millions. No months of waiting. The foundation is already built — you connect your systems and start working with clean, reliable data immediately.
No setup cost. Operational in under a month.
Powerful data warehouse
A functional data warehouse optimised for real estate data analysis, built over 7+ years.
Data quality overview
Dedicated data quality reports that surface errors and improvement potential not previously visible.
Expiry profile & renegotiations
Full overview of how much lease area expires and when, together with upcoming renegotiation workload.
Receivables against guarantees
Age-profiled receivables against guarantees with drill-down to invoice level.
Service charges weighted per m²
Costs linked to floor area to provide a better basis for comparison across properties.
The decision is rarely about capability — it is about time, risk, and whether your team should be spending years building infrastructure rather than using it.
| Internal Build | ebba | |
|---|---|---|
| Time to value | 2–4 years to build and stabilise | Operational in < 1 month |
| Cost | One capable data engineer costs more than the platform before writing a line of code | Less than a single data engineer's salary |
| Risk | High key-person risk — knowledge walks out the door | Fully managed, living platform |
| Domain knowledge | Requires years of Norwegian CRE expertise to build correctly | 7 years of domain knowledge included |
| Talent | Manual processes make it hard to attract and retain analytical talent | Modern data culture from day one |
You should see me right now, almost like I'm popping the champagne.
Business Controller
Our data has never been so consistent and reliable.
CFO, Tema Eiendom
The question is not whether this needs to be solved — but when, and on what basis decisions are being made until it is. Get in touch and we will walk you through it.
Get in touch →