A Sustainable Data Platform
In business data, it’s wise to aim for a single source of truth. Not all data needs to be on one platform right away, but proper data modeling and governance of its usage are critical: the value of data decreased if it cannot be trusted.
For cloud-based data platforms, our technology choices are Microsoft Fabric and Azure Databricks. Using either one or both creates a future-proof data core for your organization: a central hub through which all data can be analyzed, refined, and distributed.
Data Management Services
Winning with data also requires solid working practices, whether it involves the technical management of the platform itself or effective data governance.
We help our clients organize data platform projects, maintenance practices, and data management processes. Whether it’s forming data domains or creating data products, we bring our expertise to support your data initiatives, whether you need a data owner’s substitute or just a few orientation workshops.
A Flexible Connection to Analytics
Data collected on a platform is often intended for further refinement and analysis. We design all our data solutions to be easily extendable — for instance, enabling analytics teams to work directly on the same platform.
If the work expands into machine learning or AI modeling, the platform can serve either as a direct analysis environment through our MLOps solutions or simply as a data source for further analysis when needed. We recognize that the best analytical model may sometimes be found externally, so platform openness is key for us: the main goal is to ensure our customers can perform the analysis they need efficiently and flexibly.