Data Warehousing

A modern data warehouse is far more than a data repository — it is the central hub for enterprise-wide information. Data from heterogeneous systems is integrated, harmonized, historized, and optimized for analytical use. Only through structured data warehousing can numbers be transformed into knowledge — and knowledge into decisions.

Our expertise ranges from architectural consulting and ETL/ELT development to the modernization of existing systems.

We support organizations in implementing classic on-premises solutions as well as modern cloud data warehouse architectures based on Microsoft Fabric, Microsoft SQL Server, or Oracle Database.

Comeli analyzing a schematic data warehousing diagram with connected data sources and reporting structures.

Use Cases

Our clients operate in banking, insurance, retail, and logistics. Typical projects include:

  • Implementation of a central data warehouse as the reporting foundation for management
  • Migration from Oracle or SQL Server to Microsoft Fabric
  • Integration of upstream systems and external data sources (e.g., market or booking data)
  • Implementation of historized data models (Data Vault)
  • Combining data warehousing and data science for forecasting and risk analytics

Services

  • Consulting and architecture design – building scalable, maintainable, and high-performance data warehouse architectures
  • Implementation of ETL/ELT processes – data integration using SQL, Data Factory, or Spark
  • Modeling based on best practices – e.g., Data Vault, star schema, or snowflake schema
  • Migration and modernization – from on-premises systems to cloud or hybrid architectures
  • Performance optimization – tuning data models, indexes, and queries
  • Quality assurance and documentation – clean metadata, transparent data flows, consistent models
  • Training and knowledge transfer – supporting the development of internal BI and data teams

MS SQL Server

Schematic representation of a data warehouse model with source tables and target structure for Microsoft SQL Server.

Microsoft SQL Server is one of the most widely used platforms for data warehousing and business intelligence.
We design robust data models, optimize queries, and implement Integration Services (SSIS) as well as SQL-based ELT pipelines.

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Oracle Database

Oracle-themed Comeli standing on data boxes and looking into a crystal ball – symbolizing analytics and the Oracle Database.

Many organizations rely on the stability and performance of the Oracle Database – both on-premises and in the Oracle Cloud.
Our services range from PL/SQL development and XML integration to data mining and advanced analytics extensions.

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Microsoft Fabric

Cloud architecture with interconnected data components – symbolizing Microsoft Fabric and modern data warehouse platforms.

Microsoft Fabric is Microsoft’s new integrated data platform – combining data engineering, data warehousing, data science, and Power BI in a unified solution.
We support the implementation of lakehouse architectures, data integration using Data Factory, and modern data mesh concepts.

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References

The design and implementation of modern data warehouse and BI solutions are at the core of these projects. Proven technologies such as Data Vault, MS SQL Server, Power BI, and Oracle are combined with specialized programming in T-SQL, PL/SQL, Python, and R. Application areas include interactive reporting systems, automated data platforms, and complex analytics systems across various industries.

Comeli wearing a construction helmet with tools – symbolizing the design and development of a data warehouse.

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Development of a data warehouse using Oracle and MS SQL Server for labor market data, including Data Vault modeling, T-SQL and MDX programming, MS SQL Server Analysis Services, automation and modeling with WhereScape Red and WhereScape 3D.

Data warehouse, Data Vault, SQL, and WhereScape.

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Data Vault modeling, interface development using Talend, and additional Java/PL/SQL programming for various banking systems to build a central data platform for statistical analysis of customers, transactions, risks, and payments, including regulatory reporting. Documentation of a domain-specific language for automated generation of Data Vault structures for an Oracle Enterprise Data Warehouse using SQL, PL/SQL, Java, and Xtext for a regional bank.

Data Vault, Talend, Java/PL SQL, and Oracle.

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Concept and development of a self-service BI platform based on MS SQL Server 2017 Azure and Microsoft Power BI, including modeling with MS SQL Server Analysis Services Tabular Model and DAX, as well as R for visualization and forecasting in real estate marketing analytics.

Self-service BI, MS SQL Server Azure, Power BI, and DAX/R.

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Consulting, coaching, and training in MS Power BI, DAX, data modeling, and reporting in the automotive sector.

Power BI, DAX, data modeling, and automotive coaching.

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Interactive analytics system with complex calculations for product placement data in retail.

Interactive reporting, complex calculations, retail, and product placement.

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Data warehouse for insurance services including modules for online reporting, forecasting, fraud detection, data integration, and data quality.

Data warehouse, online reporting, forecasting, and fraud detection.

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Data warehouse with interactive reporting and complex data integration for public finance budgets.

Data warehouse, interactive reporting, data integration, and public finance budgets.

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OLAP and analytics system for HR and health data with various multivariate analyses.

OLAP, multivariate analysis, HR and health data, and analytics system.