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Data & Analytics
Platforms

Modern Data Platforms:
The Foundation for Your Success.
Modern cloud data platforms are the central nervous system of successful, data-driven companies. They overcome the limitations of traditional systems by consolidating all data in one place and making it accessible for a wide range of use cases. From business intelligence and self-service analytics to complex AI models, they provide a unified, scalable, and secure foundation to generate valuable insights and gain a true competitive advantage from your data.
Comprehensive Data Processing
Process data in real-time (streaming, events) or in batches. Modern platforms natively support both structured and unstructured data formats.
Modular Architecture
Benefit from decoupled architectural components and support for paradigms like Data Mesh to develop decentralized data products.
Automation
Accelerate development cycles through the seamless integration of CI/CD processes and the use of approaches like Metadata-Driven Development.
Centralized Metadata Management
Create transparency across data lineage, content, and processing status with an active metadata model as the basis for monitoring and governance.
Integrated Security & Compliance
Effortlessly meet complex requirements from data protection (GDPR), IT security, and industry-specific regulations with built-in governance features.
Flexible Interfaces & Data Models
Deliver data through defined, extensible interfaces (APIs) and leverage flexible data models that adapt to future requirements.
Don't know how and where to begin?
We will assess your situation and provide a strategic roadmap for you.
Schedule a Meeting
Databricks
Databricks is the leading Data Intelligence Platform, built on an open lakehouse architecture. It unifies what was traditionally separate: data warehousing, data engineering, streaming analytics, and AI within a single, collaborative environment. Built on open standards like Apache Spark and Delta Lake, Databricks offers unparalleled performance and scalability. As Databricks specialists, we design and implement a tailored platform for you, serving as the central engine for your data-driven innovations.

Business Intelligence
Interactive dashboards and analytics directly on the freshest data to enable fast, informed business decisions.
Data Warehousing
High-performance SQL queries with optimized compute resources directly on the data in your lakehouse, without having to move it.
AI & Data Science
A unified, collaborative environment for the entire machine learning lifecycle, from data preparation to production models.
ETL & Real-Time Analytics
Develop reliable and scalable data pipelines for both batch and streaming data to power all analytical use cases.
Orchestrierung
Automate and orchestrate complex, cross-functional workflows across the entire data lifecycle.
Data Governance
Centralized control of data access, security, auditing, and compliance across all workspaces using the Unity Catalog.
The official Databricks logo on a dark gray background with abstract design elements.
Diagram of the Databricks Data Intelligence Engine, showing core components like Unified Governance and Unified Data, and its applications like BI, AI, and ETL.
Diagram showing how central governance connects an AI platform and a data platform.
Microsoft Power BI
Microsoft Power BI is one of the world's leading Business Analytics solutions, enabling organizations to create impactful reports and interactive dashboards. The platform is distinguished by its ease of use and its ability to seamlessly connect to hundreds of data sources. It serves as both a robust solution for standardized enterprise reporting and as an agile self-service tool that empowers business departments to perform their own analyses. As your Power BI experts, we build the foundation for you to establish a pervasive analytics culture and empower every employee to make data-driven decisions.
The official logo of Microsoft Power BI, consisting of three yellow bars.
Power BI dashboards with financial KPIs displayed on a desktop monitor, tablet, and smartphone.
Screenshot of a Sales Pipeline report in Power BI Desktop with various charts and KPIs for revenue analysis.
The "Get Data" window in Power BI, showing the variety of available data sources like Excel, SQL, and Azure services.
Reports & Dashboards
Data Connectivity
Power Query
Self-Service
AI-Powered Insights
Advanced Data Modeling
Security & Governance
Collaboration
Unlimited users
Bank-level security
Access on any device
Real-time collaboration
AI-powered suggestions
Seamless integrations
24/7 customer support
Customizable dashboards
Unlimited users
Bank-level security
Access on any device
Real-time collaboration
AI-powered suggestions
Seamless integrations
24/7 customer support
Customizable dashboards
Unsere Power BI Services
Consulting and Planning
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We ensure that your investment in Power BI aligns with your business goals from the very beginning. Together, we develop a clear strategy and answer your key questions:

  1. How can Power BI be optimally used to achieve your objectives?
  2. Which licensing model is right for your use cases?
  3. What costs can you expect?
  4. What are the next steps for a successful implementation?
Installation & Setup
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We handle the complete technical installation and configuration of your Power BI environment. This includes the initial deployment of the tool, assigning licenses, and setting up user permissions, so your team is ready to go from day one.
Data Connectivity
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We integrate your data from all relevant sources, whether from the cloud or on-premises systems via a Data Gateway. Subsequently, we develop robust and high-performance data models that serve as a reliable and central foundation for all future reports and analyses.
Reports and Analytics
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In collaboration with you, we develop a set of impactful reports and interactive dashboards. These dashboards provide a clear overview of your most important key performance indicators (KPIs) and can be flexibly adapted or expanded by you at any time.
Row Level Security (RLS)
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We implement precise row-level permissions. This ensures that each user sees only the data for which they have explicit authorization, and that sensitive information is protected at all times.
Integration
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For seamless integration into your existing web applications or portals, we use Power BI Embedded. Upon request, we also develop custom solutions that are perfectly tailored to your specific requirements.
Trainings
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We empower your teams to leverage the full potential of Power BI themselves. With customized training and workshops for your company, we ensure that your employees can confidently use the platform in a self-service approach.
Microsoft Fabric
Microsoft Fabric is an all-in-one analytics platform that ushers in a new era of data analysis. It combines the strengths of established tools such as Power BI, Azure Synapse, and Data Factory, eliminating data silos and facilitating collaboration among data engineers, data scientists, and data analysts.

At the heart of Fabric is OneLake, a central data lake that functions as the "OneDrive for data." All data is stored in the open Delta Lake format, rendering isolated solutions obsolete and creating a unified "single source of truth" for all analytics workloads. This guarantees consistency, simplifies governance, and prevents redundant data storage.

At every level, Fabric is equipped with AI components, such as the Azure OpenAI Service and Copilot. The latter uses generative AI to extract the best possible insights from data. From code generation and data integration to report creation, Copilot accelerates development processes and makes your data's potential accessible to everyone in your company.

The decisive added value lies in the fully managed SaaS architecture. All participants work in a single, unified environment. This integrated approach not only accelerates project implementation from the data source to the final report, but also significantly reduces the total cost of ownership (TCO).

As your Microsoft Fabric experts, we help you leverage this high-performance platform to its fullest potential for your business.
Overview graphic of Microsoft Fabric, the unified data platform for AI, with its components like Data Factory, OneLake, and Power BI.
Promotional graphic for Microsoft OneLake featuring the logo and the slogan "The OneDrive for Data".
Features
Data Factory
Scalable data integration to connect hundreds of data sources, transform data with Power Query, and orchestrate complex data pipelines.
Data Engineering
Development and operation of robust lakehouse architectures based on Apache Spark for processing and transforming data at a petabyte scale.
Data Science
A collaborative, end-to-end environment for the entire machine learning lifecycle, from exploration and model development to production deployment.
Data Warehousing
A high-performance, serverless, next-generation SQL warehouse that operates directly on the open data formats in OneLake.
Real-Time Analytics
Analysis of high-volume streaming data from sources like IoT devices or logs in real-time to enable immediate insights and reactions.
Power BI
A leading analytics tool for creating interactive reports and dashboards that directly access data in OneLake and offer intuitive visualizations.
Microsoft Azure Data & Analytics
Microsoft Azure's Data & Analytics services provide a powerful, integrated ecosystem that enables you to transform your data into strategic insights. It allows for the orchestration of the entire data lifecycle—from ingestion and storage through transformation to analysis and visualization. On this cloud-based, serverless, and flexibly scalable foundation, we create a tailored analytics environment that is precisely aligned with your business goals.
The official logo of Azure Data Factory with a blue factory icon.
Azure Data Factory (ADF) is Microsoft's central, cloud-native ETL service for automating and orchestrating data flows across your entire system landscape. With a library of over 90 pre-built connectors, it enables the straightforward integration of data from diverse sources—whether on-premises, in the cloud, or from SaaS applications.


We use ADF to design and implement robust and scalable ETL and ELT processes, leveraging both its visual, code-free tools for rapid development and the flexibility to implement complex transformations with custom code. As a fully managed, serverless service, Data Factory ensures maximum cost-efficiency and scalability, freeing you from the burden of managing the underlying infrastructure.
Logo of Azure Synapse Analytics, symbolizing data integration and analytics.
Azure Synapse Analytics is Microsoft's analytics platform that brings together the worlds of data warehousing and big data systems in a unified environment. It enables the ingestion, preparation, management, and delivery of data from all sources for immediate business intelligence and machine learning needs.

We use Synapse to create a single point of truth for your data. To do this, we combine the best SQL technologies for enterprise data, Spark for big data, and Data Explorer for time-series analytics. Through its deep integration with services like Power BI and Azure Machine Learning, we accelerate the journey from raw data to decision-critical insights and create a powerful, end-to-end analytics environment.
Logo of Azure Databricks, combining the Microsoft Azure and Databricks symbols.
Azure Databricks is the version of the leading data intelligence platform optimized for and natively integrated into Microsoft's cloud service. While it is built on the core functionality of Databricks, the Azure variant unleashes its full potential through its native integration into the Azure ecosystem, delivering significant advantages in security, management, and performance.

This means you can use unified security and identity management through Microsoft Entra ID (formerly Azure AD), access data in Azure Data Lake Storage directly and with high performance, and manage all resources centrally via the Azure Portal. This approach eliminates administrative hurdles and allows us to implement your Databricks projects with maximum performance, fully leveraging your existing Azure infrastructure—all without the overhead of separate environments.
Logo of Azure Storage with the Azure symbol inside a stylized cloud.
Azure Storage forms the fundamental backbone of modern data platforms in the cloud, serving as the central infrastructure for Microsoft's data and analytics technologies. The service is designed to store virtually unlimited amounts of structured and unstructured data securely and with high availability. In particular, Azure Data Lake Storage (ADLS) Gen2 is the de-facto standard for building data lakes.

We leverage Azure Storage to design and implement the highly scalable, secure, and cost-effective foundation for your central data lake. This serves as a "Single Source of Truth" and forms the indispensable foundation that makes powerful analytics workloads with services like Azure Synapse, Databricks, and Data Factory possible. This provides you with a central data repository that scales with your needs.