Overview
We design and implement central data models — from classic data warehouses through modern lakehouse architectures to cloud DWH solutions. Platform choice is driven by your existing stack and requirements: SAP Data Warehouse Cloud, Google BigQuery, Microsoft Fabric, or Hadoop/Cloudera.
Dimensional modeling, slowly changing dimensions (SCD), and performance optimization are core competencies.
We ensure your data is structured, consistent, and queryable — as a reliable foundation for all downstream analytics and reporting needs.
Typical use cases
- Building an enterprise data warehouse as single source of truth
- Migration from on-premises DWH to cloud (BigQuery, Fabric)
- Lakehouse architecture for structured and unstructured data
- Dimensional modeling for complex business analyses
- Data mart creation for specific business units
Technologies
More focus areas
Data Engineering & ETL
Robust pipelines and integration with DataStage, SSIS, Oracle ODI, Azure Data Factory and Spark.
Learn more →BI & Visualization
Dashboards and reporting with Power BI, Tableau, Superset, Oracle OBI, QlikSense and SAP SAC.
Learn more →Machine Learning & AI Analytics
Forecasting, segmentation and ML models — including SAP analytics scenarios.
Learn more →