Data foundations for Qlik
ETL from your bookings, finance, CRM and legacy systems into one governed source, with incremental loads so dashboards stay close to real time.
We build Qlik Sense apps on a proper data foundation: pipelines that join every source, data models shaped around your questions, dashboards for each team, and the governance that keeps the numbers right. From Reykjavík, in production for TourDesk and the Icelandic Film Centre.
MóholtETL from your bookings, finance, CRM and legacy systems into one governed source, with incremental loads so dashboards stay close to real time.
Models built for what you ask: grants by type, region and gender; bookings by market, vendor and season; reimbursements by time to payment.
Qlik Sense apps for management, operations and finance, each tested with the people who use it.
Layered map views of markets and regions next to the KPIs that matter there, as built for TourDesk.
Access controls so each person sees what they should, and data checks on every load, in line with GDPR and Icelandic data rules.
Data apps and reports delivered on a schedule, so the important numbers reach people without them having to look.
Connect the sources, build the ETL pipelines and set up the central repository Qlik reads from.
Link the data domains that were never connected, so one view can cross bookings, vendors and costs.
Role-specific Qlik Sense apps, with the access rules and data checks behind them.
Apps rolled out team by team, with training so people can read and extend them.
Usage and feedback reviewed, then dashboards and pipelines improved and new sources added.
2 case studies. Open one for the full story.
Yes. We are based in Reykjavík and have Qlik Sense apps in production for TourDesk, a tourism platform, and for the Icelandic Film Centre (KMÍ), where dashboards cut report generation from days to minutes.
Yes. We start by reviewing the load scripts, data model and sheets, fix what is slow or wrong, and only then add new views.
Yes, with incremental loads, and direct queries for the views that need them. TourDesk’s dashboards use both.
Both are good tools. Qlik’s associative model is strong when people explore across many sources; Power BI suits teams already deep in Microsoft 365. We work with either, and if you already have one, we usually build on it.
Yes, in Icelandic and English.
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