Many companies already use Power BI, Azure services, and various data platforms. However, with every additional system, the effort required for integration, operations, and coordination between BI, data engineering, and IT increases.
Microsoft Fabric can bring these areas closer together. The key, however, is to intelligently incorporate existing investments, choose the right architecture, and consider governance and capacity from the very beginning.
We help you develop a sustainable data and BI platform from individual technologies—from the first use case to a controlled rollout.
Increasing efficiency in public transport with a centralized data platform and dashboard
Whether you want to evaluate Fabric, modernize your existing data landscape, or scale a successful pilot, we support you exactly where you are today.
We evaluate use cases, existing technologies, cost models, and organizational requirements to develop a robust target vision.
We analyze your existing Power BI landscape and show how data integration, data storage, semantic models, and reporting can be effectively combined with Microsoft Fabric. Together, we develop a step-by-step roadmap that accounts for existing reports, models, workspaces, and internal expertise.
We review your current architecture and assess which systems and workloads should be integrated, modernized, or migrated to Fabric. We take technical dependencies, functional differences, parallel operations, and existing investments into account.
We evaluate your use cases, existing system landscape, and technical and organizational requirements. This provides you with a sound basis for decision-making and a clearly defined pilot use case to validate architecture, benefits, and operations in a production-like environment.
We turn individual use cases into a scalable platform. In doing so, we take governance, workspace structures, deployment processes, monitoring, and capacity management into account.
At the beginning, we develop an individual, holistic data strategy. We carry out a comprehensive needs analysis and advise you on your architecture.
With Microsoft Fabric, we build a modern analytics solution for you and integrate the platform into your existing workloads and processes.
We specifically train your employees so that they can use the tool safely. We also offer long-term support and development.
As an experienced Microsoft partner with more than 350 successfully implemented projects, including some with Fabric, we know how to help you implement and improve the all-in-one data analysis platform.
We have over 40 certified data experts who are constantly evolving. Some of our experts have already completed their Fabric Analytics Engineer Associate certification. Microsoft regularly tests us to ensure that our high quality standards are maintained.
In addition to our award as Solutions Partner Data & AI, we are also one of the few Microsoft Fabric Featured Partners. Thanks to our long cooperation and our strong network at Microsoft, we offer optimal support.
Data, Drinks & Dom — the Data Lounge & Learn event at Microsoft in Cologne
With Microsoft Fabric, you combine data integration, data storage, analysis and reporting in one platform, creating the basis for modern BI, self-service analytics and AI-based evaluations.
Microsoft Fabric is suitable for companies that want to establish a uniform data and analysis platform. Especially when you want to consolidate data from multiple sources, automate pipelines, or establish self-service analytics.
Fabric integrates multiple data and analytics functions into one platform. Traditional data warehouses are usually more focused on structured storage and reporting, while Fabric also covers pipelines, automation, streaming, and AI workloads.
Microsoft Fabric can become the central component of your data & AI strategy by bringing together data, analytics, reports, and AI functions on a unified platform.
Let us answer your questions during a non-binding initial consultation.
BI strategy, tool selection or modern dashboards. We advise you and implement
Development of an automated reporting landscape for hundreds of employees
The features of Azure OpenAI and how to tailor the GPT models to your use cases
