Data Strategy
The right direction before the right tool
Most computer projects don't fail because of the technology. They fail because the organization doesn't know what it wants to achieve, or the order in which things should be done. We will help you find out.

What we do
We help organizations formulate a data strategy that aligns with business goals. It's about prioritizing the right initiatives, understanding which data is important, and creating an actionable plan — without falling foul of regulations along the way.
We also work with master data management, data governance, and data culture — these three areas where strategies often get stuck in execution. It's one thing to know what you want to do. It's quite another to ensure the organization can actually do it.
How we work
We always start by understanding your reality: what you have today, what works, and where the challenges lie. This is done through interviews with key stakeholders, workshops where the right people meet, and concise analyses of the current state. Not always in that order — we adapt to you.
Then, we build a plan together with you. No 100-page strategy documents that gather dust in a drawer, but a concrete roadmap with prioritized initiatives, clear ownership, and a first step you can take next month — not next quarter.
And we're happy to stay on to assist with the execution. A strategy that doesn't take root in the organization isn't a strategy — it's just a PDF.
Lead - where technology meets regulation
In the wake of AI's rapid rise, everyone wants to build "AI-ready" platforms. But it's easy to forget the underlying questions: GDPR, EU AI Act, NIS2, DORA, CLOUD Act, ISO 27001 — and all the regulations that actually determine whether your data project can even be carried out.
For Swedish banks, government agencies, and organizations handling sensitive information, these are not minor details — they are the entire foundation. Are you allowed to use a US cloud provider for your customer data? Which parts of your AI solution are classified as high-risk under the EU AI Act? How do you meet the NIS2 requirements for cyber resilience?
Our department Lead specializes in precisely these questions — the ones often considered "boring" but are, in practice, business-critical. They work closely with our architects and consultants so that technical solutions are designed correctly from the start, not rebuilt afterwards when it's discovered that what they've done isn't permissible.
Typical Challenges We Solve
Unclear data ownership. Poor data quality that undermines trust throughout the organization. The challenge of prioritizing among too many parallel initiatives. Organizations that know they need a data strategy but don't know where to start.
And most often: strategies that have existed for years but never materialized — or projects launched without anyone checking if they are even allowed to be implemented. That's where we provide the most value — by helping you move from ambition to execution, one step at a time, and with a clear understanding of what you are actually permitted to do. Not just what you are capable of.
Let's talk data.
We will help you find the right way forward, no matter where you are today.
