Data Platform
A foundation that holds
It all starts with the platform. Without a solid foundation for collecting, storing and processing data, everything else becomes guesswork. We build data warehouses, data lakes and pipelines that scale with your business.
What we do
We help organizations design and build modern data platforms. This can involve migrating from an existing solution that no longer meets their needs, or building something new from scratch.
We cover the full spectrum — from architecture and data modeling to development and ongoing management. And we stay until it's fully functional in daily operations, not just in the pilot phase.
Techniques we work with
We work across the entire data chain, from foundational cloud infrastructure, through data platforms where data is processed, to the tools that tie it all together into actionable insights. We select the combination based on your specific needs.
1. Cloud Platforms (the infrastructure) Azure, AWS, and GCP. Our main focus is Microsoft Azure, but we are equally comfortable working with AWS or GCP when it's the right choice.
2. Data Platforms (where data resides and is processed)
Snowflake is a market-leading cloud data warehouse, known for separating storage and compute so you only pay for what you use. It's quick to get started with and strong for analytics and data sharing between teams or organizations.
Databricks combines data lake and data warehouse in a so-called lakehouse architecture. It's strong in data engineering, machine learning, and AI, making it a natural choice for building data and AI solutions in one place.
Microsoft Fabric brings together OneLake, data engineering, data warehousing, and Power BI in a single environment — with Copilot built-in as an accelerator. It's a good fit for organizations already operating within the Microsoft ecosystem.
3. Tools and Technologies (that tie it all together) dbt and Apache Airflow for data engineering, Informatica for data quality and governance, Power BI for business intelligence. All are guided by business value as the primary principle, not technology for its own sake.
We recommend what actually solves the problem, not just what's most convenient for us.
Typical Challenges We Solve
Data stuck in silos, never reaching decision-makers. Platforms that can't handle increasing data volumes, or have become too expensive to scale. Manual processes that should have been automated years ago. Migrations from older systems that drag on because no one dares to let go of the old.
And most often: data projects that excel in the pilot phase but never truly integrate into the organization. That's where we provide the most value, when it's no longer about technology, but about making it truly work.
Let's talk data.
We will help you find the right way forward, no matter where you are today.
