AREA OF EXPERTISE

Data Management & Platforms

Combine industry solutions with tailor-made innovation to accelerate value creation from data.

Solutions:

What we do

WHAT WE DO

We help you to unlock real value from data

Data can only create value when it is accessible, secure, and actionable. We assist our customers with the implementation of data-driven environments, supporting self-service analytics and data-consumers across an organization.

Our framework for data platforms ensures that data remains accessible, secure, accurate, and fully compliant with policies and regulations, while maintaining its usability across the organization. It emphasizes the flow of data from raw sources to refined insights.

Whether through self-service analytics, scalable platforms, or AI-driven insights, we ensure that businesses can unlock real value from their data.

Value & data assessment

We identify use cases and evaluate data quality and availability to identify pragmatic next steps.

Solution development

Our team designs and builds solutions tailored to data consumers, step-by-step.

Implementation and adoption

We implement the solutions and support user-adoption.

HOW WE DO IT

Combine industry solutions with tailor-made innovation

We work platform agnostic, applying the technology that best fits a particular use case. We use technologies from Microsoft Azure (Fabric), Google Cloud Platform (Data Fusion), AWS (Glue, Athena) and Databricks – to ensure that our customers leverage best-in-class tools but stay in control of their data.

Where off-the-shelf solutions fall short, we develop custom-built data applications that align with governance policies, security requirements, and operational workflows. This ensures that every data solution is technically robust, business-ready, and fully compliant.

A well-structured data governance framework is the foundation for scalable, self-service analytics & (Gen)AI solutions. Our framework on data governance helps to stay in control of data for both a centralized architecture and decentralized data mesh. This significantly speeds up the deployment of self-service analytics and allows business users to extract value from data faster, more efficiently, and with more confidence.