We combine tried-and-tested methods from traditional data warehousing with the possibilities of modern cloud data platforms.
This results in flexible, high-performance solutions that deliver reliable company data - and at the same time create room for innovation, AI and self-service analytics.
Clean, harmonised data is the foundation of every data-driven organisation.
We model according to 3NF, Star Schema or Data Vault 2.0, integrate data from a wide variety of sources and create a consistent database for reporting, controlling and governance.
Your benefit: maximum data quality, transparency and traceability - for decisions that work.
When data volumes grow and requirements become more dynamic, the data lake comes into play.
With technologies such as Azure Data Lake, Synapse, Databricks or Fabric, we create scalable environments in which structured, semi-structured and unstructured data flow together.
Whether streaming, machine learning or exploration analyses - your data is ready when you are.
The best of both worlds
We don't think of data warehouses and data lakes as opposites, but as complements. In the so-called Lakehouse approach, we combine stable, verified company data with the agility of modern cloud technologies.
The result: an integrated data platform that works reliably today - and opens up new possibilities tomorrow.
Many years of experience in the implementation of analytical SAP applications
Expertise in implementing classic data models (3NF) as well as Data Vault 2.0
Smart data management and in-depth process knowledge