Data Platforms

Modern data platforms create transparency, scalability and speed. We support companies in the design, implementation and further development of future-proof data landscapes

Why modern data platforms are crucial

Many companies already have valuable data - distributed across ERP, CRM, production, finance or specialist systems. However, the actual potential often remains unused because information exists in silos, data quality issues persist, or a consistent basis for analytics and AI applications is missing.
At the same time, growing data volumes, new regulatory requirements and the increasing need for data-driven decisions are putting pressure on existing data architectures. Modern data platforms create the foundation to make data available company-wide, unify information flows and sustainably enable analytics, automation and AI applications.

Challenges faced by our clients

Complex data landscapes

Important information is spread across different applications, databases and departments and can only be consolidated with significant effort.

Lack of a data foundation

Differing metrics and conflicting information make it harder to make well-founded decisions.

Insufficient data quality

Duplicate records, manual maintenance and missing standards lead to uncertainty in analytics and reports.

Abstrakte Datenstrukturen als Symbol für moderne Datenplattformen und vernetzte Datenlandschaften

Our approach

A powerful data platform is far more than a central data store. It creates the foundation for providing information consistently, ensuring data quality and enabling new use cases for analytics, automation and AI.
That is why we take a holistic view of data platforms - from architecture to integration and governance through to provisioning for departments and applications.

Our services in data engineering

Data Platform Architecture

Development of modern target architectures for powerful and scalable data platforms. We create the foundation for the secure, efficient and future-proof use of company data.

Data Warehouse & Data Lake

Building central data platforms for reporting, analytics, automation and AI applications. Information is provided in a structured way and made usable for different departments.

Data Integration

Integration of applications, interfaces and data sources into consistent information flows. This creates seamless data processes across system and organisational boundaries.

Data Quality & Governance

Establishing standards for data quality, master data management and governance. This makes data more reliable, traceable and usable in the long term.

Cloud Data Platforms

Building modern data platforms on Microsoft Azure, AWS or hybrid infrastructures. This allows data to be provided flexibly, scalably and cost-effectively.

Analytics Enablement

Providing a central data foundation for reporting, business intelligence and self-service analytics. Departments gain faster access to relevant information and metrics.

What sets successful data platforms apart

Cloud Data
Platforms

Building modern data platforms on Microsoft Azure, AWS or hybrid infrastructures.

Analytics
Enablement

Providing a central data foundation for reporting, business intelligence and self-service analytics.

Single Source
of Truth

Creating a consistent and trustworthy data source for the entire company.

DataOps & Automation

Automated data pipelines for faster delivery, higher quality and lower operational effort.

Abstrakte Visualisierung vernetzter Datenplattformen und intelligenter Datenflüsse

Next Generation Data Platforms

Modern data architectures combine central control with decentralised responsibility. Based on concepts such as data mesh, data fabric and self-service analytics, we create flexible platforms for a data-driven organisation.

Learn more

Our contribution to your success

FC-Gruppe supports companies in building powerful and future-proof data platforms. By combining data architecture, integration, governance and technical implementation, we create the foundation for the global use of information. This results in scalable data landscapes that increase transparency, support decisions and unlock new potential for automation and artificial intelligence.