The best data consultancies in Iceland are the ones that fit your project, not the ones at the top of a ranking. The market is small, and the firms in it do different jobs: large IT houses that run whole systems, BI specialists that build data warehouses and reports, AI studios, and small teams that build data and software together. This guide names several of them, explains what each type is good for, and gives you a checklist to score a shortlist. We are Gott Data, a Reykjavík data and software company, so we are one of the options. We have kept the descriptions of other firms to what their own websites say.
What kinds of data firms work in Iceland?
Most firms fall into one of four groups.
- Large IT and business software houses. They run infrastructure, ERP and security as well as data. Good if you want one supplier for many systems.
- BI and data warehouse specialists. They focus on getting data into one place and reporting on it, often on the Microsoft stack.
- AI specialists. They focus on generative and predictive AI, usually on top of data you already have.
- Small data and software studios. One team that models the data, builds the dashboards and writes the software around them.
None of these is better in general. The right one depends on how big the job is and what you want to own at the end.
Which firms should be on your list?
Here are firms we found doing data, BI or AI work in Iceland. Each line is based on the firm's own site.
- Advania is an IT company at Guðrúnartún 10 in Reykjavík, with sister companies in Sweden, Norway, Denmark, Finland and the UK. Its site groups data and AI services together, covers Power Platform work, and its school runs Power BI courses.
- Origo has its headquarters at Borgartún 37 in Reykjavík. It offers IT operations, security and business solutions, and promotes Microsoft Fabric for companies that want to make more of their data.
- Wise offers business software built around Business Central, plus hosting, security and consulting, with offices in Reykjavík and Akureyri. Its site lists a business intelligence solution.
- Maven is a data and BI consultancy with offices in Kópavogur and Akureyri. It builds and maintains data warehouses, works with Power BI, TimeXtender, Databricks and Microsoft Fabric, and lists projects for Blue Lagoon, Landsvirkjun and Fly Play.
- Expectus is at Suðurlandsbraut 10 in Reykjavík. Its data division works with tools such as Azure, Microsoft Fabric, Power BI and Tableau, and it also has finance and strategy consulting arms.
- DataLab is at Borgartún 37 in Reykjavík and focuses on AI. It offers AI consulting, work with Microsoft Copilot Studio, a generative AI assistant called Ari, and predictive models for forecasting and risk.
- Gott Data was founded in Reykjavík in 2022. We build data foundations and ETL, BI dashboards in Qlik Sense and Power BI, machine learning and bespoke software in one team.
This is not a complete list. It is a starting point for a shortlist of three.
What do directory rankings measure?
Sites such as Clutch, TechBehemoths and Sortlist publish "top" lists by country. They are useful for finding names. They are less useful for judging quality.
Clutch's own help pages say reviews are the most heavily weighted part of its score. Work experience and market presence count too. So a high rank mostly means a firm has collected many recent client reviews on that site and kept its profile full. A strong firm that never asks clients for reviews can sit low or not appear at all. Use the lists to find candidates, then judge them on their work.
How do you score a shortlist?
Give each firm a mark from 1 to 5 on each of these:
- Case studies like yours. Same size of company, similar data, a named client where possible.
- Who does the work. Meet the people who will build it, not just the people who sell it.
- Your data stays yours. You own the warehouse, the code and the reports, and can switch supplier later.
- A fixed first milestone. A defined result in a few weeks, with a price, before any larger commitment.
- Tools you already use. If your team knows Power BI or Qlik Sense, the firm should build there.
- Who runs it afterwards. Ask who fixes a failed load at 7 in the morning, and what that costs.
Add up the marks. If two firms are close, ask each for a short paid discovery and compare what comes back.
What does a project look like in practice?
Two of our own projects show the kind of work to ask any firm about. For TourDesk, we joined hotel, vendor, booking and car rental data into one governed source of truth with Qlik Sense dashboards on top. The TourDesk case study has the details. For KMÍ, with our partner Móholt, we built a central data warehouse and Qlik Sense dashboards for grants and reimbursements, described in the KMÍ case study.
Ask every firm on your list for examples like these, and ask to speak to the client.
If you want to see how we approach data work, our analytics page explains it, and you can tell us what you are trying to fix.