Many Azure environments start with individual projects and then grow rapidly. New subscriptions, resources, and data sources are added, permissions become more complex, and costs become increasingly difficult to attribute to individual workloads.
At the same time, existing data platforms need to be modernized, new data and AI use cases implemented, and production workloads operated reliably.
We combine cloud architecture, data engineering, governance, and operations into an Azure environment that not only works technically but remains manageable in the long term.
We address all business needs using proven combinations of Azure services and related products, whether your journey to the cloud is just beginning or you already have experience with it.
We adapt to your needs and choose the preferred programming languages, frameworks and infrastructures based entirely on you. We seamlessly integrate Microsoft Azure Services into existing IT infrastructures.
To ensure that you are optimally positioned in the long term, we offer you continuous support and development of the Azure environment. We also train the team to cover all necessary competencies internally. This ensures the continued efficiency of your cloud solutions.
Boosting efficiency in public transport with a centralized data platform and dashboard
Whether you want to build a new data platform, modernize existing workloads, or gain better control over an established Azure environment, we support you exactly where you are today.
We develop a viable target architecture for your platform, data sources, workloads, security, and operations. In doing so, we create the technical foundation for analytics, machine learning, and other data-driven applications.
We analyze your current architecture and evaluate which components should be retained, modernized, migrated to Azure, or replaced with managed services.
We structure subscriptions, resources, identities, permissions, policies, and responsibilities. This creates clear guardrails without unnecessarily slowing down development teams.
We review architecture, performance, monitoring, scaling, and costs, and develop prioritized measures for more stable operations.
As a long-standing Microsoft partner with more than 350 successful projects, our experienced data consultants, data engineers and cloud engineers develop your tailor-made Azure architecture and get the most out of Microsoft Azure services for you.
You can rely on our high quality standards. We ensure this with continuous training of our over 40 certified data experts and through regular quality audits from Microsoft.
You're in good hands with us. We have been a Microsoft Solution Partner Data & AI since 2019 and specialize in Analytics on Azure. Thanks to many years of cooperation and our active network, we provide you with the best possible support.
“By building the platform, we are now able to make data-driven decisions and further develop our products in a customer-oriented manner. ”
Matthias Koch
Product manager/HD+
Our Azure consulting goes beyond simple setup: We look at architecture, governance, security, resource structures and operational processes together with your requirements. The focus is not only on “operation in the cloud,” but also on sustainable, scalable use for data and analysis workloads.
An Azure project starts with an inventory and goal definition. This is followed by architecture and migration concepts, implementation, automation, security setup, and governance development. Finally, there is stable operation, including monitoring, optimization and transfer of knowledge to internal teams.
The costs for Azure consulting vary depending on objectives, scope, and complexity. Pure architecture assessments are more compact, while complete cloud transformation or enterprise projects are supported over the longer term. A clear project scope and coordinated milestones help to plan costs realistically.
Let us answer your questions during a non-binding initial consultation.
We're taking your data management to a new level. Strategically and technologically.
From building a new modern data warehouse in Azure to customer-centric data management
The features of Azure OpenAI and how to tailor the GPT models to your use cases
