Architecture Assessment and Roadmap Design
We analyze your existing data landscape and develop a clear target architecture with a realistic roadmap that is practical and future ready.
Rethinking Data Platforms for the Modern Data Stack
We help you build a data platform that delivers impact today, not sometime in the future. Moving away from complex tool landscapes toward clear architecture, strong governance, and speed.
Our Services in the Modern Data Stack
Our services cover the entire lifecycle, from consulting to implementation and operations, modular, pragmatic, and always focused on business impact.
Selection of the Right Tools and Platforms
Together, we identify the technologies that best fit your requirements and create the foundation for a scalable data platform.
Implementation with ELT and Open Formats
We use modern ELT approaches and open standards to integrate data seamlessly and ensure long-term interoperability.
Operationalizing AI and ML, Data Contracts, and Self Service
From model integration to data contracts, we enable self service and reliably bring AI use cases into production.
Introduction of Observability, MLOps, and Governance by Design
Training, Sparring, and Continuous Support
Architecture Assessment: Clarity for Your Modern Data Stack
Whether modernizing existing systems or starting from scratch, our architecture assessment provides a clear foundation for your next steps. Together, we assess your current state, develop target architectures, and outline a future ready data architecture tailored to your requirements and capabilities.
Our Project Approach: Holistic Instead of One-Sided
We support you in building or modernizing your data platform, guided by the principles of the Modern Data Stack:
- Cloud native and modular with maximum flexibility through an API first approach
- ELT instead of ETL with transformations directly in the target system
- Open formats and lakehouse architectures for interoperability
- Self service and automation with fewer dependencies on IT
- GenAI readiness from feature stores to prompt engineering
This is how a platform is created that delivers value today and remains scalable tomorrow.
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FAQs on Data Integration
No. Mid-sized companies benefit as well, especially from modular approaches and cloud-native scalability.
That depends on your starting point. Initial results are usually visible within weeks, not years.
No. We focus on integration and evolution. Existing systems can be incorporated step by step.