Cloud Strategy & Architecture Design
We develop a clear roadmap and target architecture that seamlessly align your business goals with your technical requirements.
Cloud Migration – Preparing Your Data Platform for the Future
It is more than just a move. We help you make your data architecture truly cloud-ready.
Your Roadmap to the Cloud with Us by Your Side
Cloud migration is more than just technology. It requires strategy, structure and the right partner. With these building blocks, we make your data platform ready for the future.
Assessment & Platform Selection
We analyse your existing data landscape and identify the right target platform for your needs, such as Snowflake, Databricks, Microsoft Fabric or BigQuery.
Integration & Replatforming
We ensure seamless integration of your data sources and optimise existing processes for cloud operations.
Modern Concepts & Lakehouse
We support you in implementing lakehouse architectures and open formats such as Iceberg and Delta.
Migration of BI Workloads
We migrate your BI tools such as Qlik, Power BI and Tableau to the cloud and ensure everything runs smoothly.
Data Governance & Operations
We establish clear policies, ensure data quality and build a stable operating model for your cloud platform.
Start with an Architecture Assessment
The first step toward a successful cloud migration is clarity. Our Architecture Assessment provides a thorough analysis of your current data landscape, helping you identify risks and opportunities while giving you a realistic roadmap for your cloud journey that is pragmatic, transparent and actionable.
Everything You Need for a Successful Cloud Migration
A cloud transformation is complex and involves much more than simply moving data. To help you keep the big picture in view, we have summarised the key building blocks for you, from choosing the right migration strategy to observability and ensuring stable operations after the migration.
Not every migration requires a big bang. Depending on your starting point, we distinguish between the following approaches:
- Relocate – a quick move with minimal adjustments.
- Replatforming – adapting for cloud operations, for example by using ELT or cloud-native services.
- Refactoring – a complete redesign to enable lakehouse architectures, AI or self-service.
- Hybrid models – combining existing and new platforms for a smooth transition.
Together, we help you identify the strategy that fits your goals best.
Cloud platforms open up new possibilities, but they also demand stronger control. That is why we build observability in from day one.
- Logging and alerting for both infrastructure and applications.
- Seamless integration of tools such as dbt Cloud, Qlik Cloud, Power BI, Snowflake and Databricks.
- Compliance and audit readiness for GDPR, ISO and other regulations.
The result is a platform that not only runs smoothly but consistently delivers real, measurable value.
The real work begins after the migration.
Robust operating models such as PaaS, DataOps and FinOps.
Automation through CI/CD, testing and infrastructure as code.
Performance and cost control with smart scaling strategies and full transparency.
Building for the future for AI, GenAI and data-driven innovation.
We ensure stability, efficiency and continuous improvement.
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More InformationHow We Work
We start with an architecture assessment or a technical evaluation, depending on your current situation. From there, we decide together what makes the most sense, evolution or a fresh start. What matters most is that we understand not only tools but also organisations. That is why we align architecture, operating models and roles collaboratively.
Your Benefits at a Glance
- Realistic cloud target architecture: clarity on structure, tools and responsibilities.
- Low-risk migration: a well-founded strategy instead of trial and error.
- Fast usability: enabled by ELT approaches, open formats and automation.
- Stable operations: monitoring and governance that work in practice.
- Future readiness: prepared for GenAI, self-service and real-time use cases.
Ready to take the next step?
Your Contact
FAQs About Cloud Migration
Not every migration requires a big bang. A gradual transition is often the better choice, for example by replatforming individual components or using hybrid architectures. This keeps operations stable and gives you time to adapt your systems.
Cloud does not have to mean chaos. With the right architecture design, observability and operating model such as FinOps or DataOps, performance, costs and governance can be managed effectively, often even better than in a legacy environment.
Not everything needs to be replaced. Together, we analyse what should be migrated, simplified or rebuilt. The goal is not a one-to-one copy but a future-ready platform that is functional, efficient and aligned with your organisation.
Major providers such as Qlik and Microsoft offer dedicated data gateways for this purpose. These gateways are installed locally on a virtual machine, allowing on-prem data sources to remain inaccessible from the cloud. In most cases, no inbound firewall ports need to be opened for the data gateways.