We create the technical and conceptual foundation for a structured, high-performance, and secure processing of enterprise data. The objective is to reliably provide data, manage it efficiently, and make it usable for both operational and strategic decision-making. In doing so, we combine stable database architectures with powerful analytics and reporting structures.
Database Architecture & Operations
We design, implement, and operate relational and non-relational database systems in stable, highly available environments. The focus is on security, performance, and scalability.
Typical Use Cases
- Operation of business-critical database systems
- Highly available cluster and replication solutions
- Migration and consolidation of database landscapes
- Protection of sensitive data assets
Performance & Capacity Management
Databases must remain high-performing even as data volumes grow. We analyze workloads and continuously optimize resources.
Typical Use Cases
- Performance tuning of queries and indexes
- Bottleneck analysis
- Capacity planning for growing data volumes
- Stabilization of data-intensive applications
Data Integration & ETL/ELT Processes
Different data sources are systematically consolidated and transformed. This creates consistent data sets for analytics and reporting.
Typical Use Cases
- Integration of ERP, CRM, or specialized system data
- Automated data loading processes
- Transformation and harmonization of heterogeneous data
- Establishment of stable data pipelines
Data Warehouse & Analytics Platforms
Central data platforms form the foundation for structured evaluations and business analytics.
Typical Use Cases
- Development of enterprise-wide data warehouse structures
- Historization and consolidation of business data
- Provision of standardized KPI models
- Support of strategic decision-making processes
Reporting & BI Foundations
Data is transformed into understandable reports, dashboards, and key figures.
Typical Use Cases
- Management reports and KPI dashboards
- Operational analyses for business units
- Self-service BI structures
- Transparent visualization of complex data relationships
Data Quality & Governance
Reliable analyses are based on validated and well-structured data. We establish standards and processes to ensure sustainable data quality.
Typical Use Cases
- Definition of data standards and responsibilities
- Monitoring of data quality and consistency
- Documentation of data models
- Support for audit and compliance requirements
Business Value
Stable database architectures and powerful analytics structures create transparent and reliable decision-making foundations. Data evolves from a mere by-product into a strategic success factor.