ETL and data pipelines
We extract data from your apps, databases, APIs and spreadsheets, clean and reshape it, and load it on a schedule you can trust. Every run is logged and monitored.
Services · Analytics Á íslensku
All your data, joined up and in view.
We build the ETL and data pipelines that bring every system into one place, then turn it into holistic views of your business, in dashboards your team actually opens.
Móholt
What we do
One source of truth
A data warehouse with consistent definitions, so sales, finance and operations count the same thing the same way. Documented, governed and owned by you.
Holistic views of your business
Views that cross systems: bookings with suppliers, grants by gender and year, machines with maintenance history. Each answers a question you actually ask.
Dashboards and data visualisation
Interactive dashboards in Qlik Sense, Power BI, Tableau or Looker Studio, or custom JavaScript dashboards inside your own product, built for the people who decide.
Data quality and governance
Checks on every load, clear ownership of each dataset, and access that matches who should see what.
Advanced analytics and machine learning
Once the foundations are in place: forecasting, predictive maintenance, recommender systems and AI that answers questions over your own data.
How it works
- 1
Map the sources and the questions
Which decisions matter, which systems hold the data, and where today’s numbers disagree.
- 2
Build the pipelines
Extract, transform and load from each source, on a schedule, with tests and alerts when something breaks.
- 3
Model the warehouse
One clean, documented model of your business that every report reads from.
- 4
Design the views
Dashboards per team and per question, tested with the people who will use them.
- 5
Roll out and keep it running
Training, handover and monitoring, then new sources and views as you grow.
Tools we use
Qlik Sense
Power BI
Tableau
Looker Studio
Custom JavaScript dashboards
D3.js
Chart.js
Python
pandas
PostgreSQL
Supabase
Firebase
AWS
TensorFlow
Excel
Google Sheets
Analytics work
7 case studies. Open one for the full story.
Questions
What is ETL?
ETL stands for extract, transform, load: pulling data out of the systems where it lives, cleaning and reshaping it, and loading it into one place, usually a data warehouse, where it can be analysed together.
Do we need a data warehouse?
If your numbers come from more than one system, usually yes. A warehouse gives every report the same cleaned, joined-up data, so teams stop arguing about whose spreadsheet is right.
Which dashboard tools do you work with?
Qlik Sense, Power BI, Tableau and Looker Studio, and custom JavaScript dashboards (D3.js, Chart.js) when the views need to live inside your own product. We have built production dashboards in Qlik Sense for TourDesk and a government entity in Iceland, and we work with the BI tool your team already uses.
Can you work with the systems we already have?
Yes. We connect to what you run today, from databases and APIs to exports and spreadsheets, rather than asking you to replace it.
Do you work outside Iceland?
Yes. We are based in Reykjavík and work with companies across Europe, North America and West Africa.
Let’s talk about your data.
Tell us where you are today. We reply personally.