Data and Analytics

1. Data Design Thinking
   Start with a Data Design Thinking workshop. We work with you to develop a comprehensive data strategy and cloud-based data architectures that are precisely tailored to your objectives. Within this framework, we design a scalable and flexible data architecture.
2. Data Integration and Management
   We integrate and harmonise your data sources, both internal and external, in the cloud. We recommend the use of data management platforms such as Catena-X and Gaia-X. This ensures data quality, security and compliance in the long term.
3. Real-Time Analytics and AI
   Intuitive business intelligence dashboards and AI enable you to make data-driven decisions. We support you – using tools – throughout the entire process, ensuring that data quality is continuously improved.
4. Continuous Monitoring and Optimisation
   With the help of efficient dashboards, you can continuously monitor the performance and security of your data solution. Flexible and scalable data structures enable the rapid implementation of further use cases, which we implement together with you.

Further services for your data strategy 

• Development of data strategies for the implementation of digitalisation projects, including the application of the ‘once-only’ principle
• Analysis of the data ecosystem and creation of technical concepts for data analytics, data governance and data management to improve service exchange processes
• Planning and implementation of federated data spaces and platforms in any area of public interest
• Establishment of sovereign data infrastructures in accordance with GAIA-X guidelines
• Evaluation, processing and integration of georeferenced data for visual representation in any application scenario
• Implementation of a federated information and data management (FIM) system with automated collection and processing workflows featuring AI-based analysis
• Establishment and operation of high-performance data infrastructures for the extraction, transformation, management and sharing of data in sovereign private or public cloud environments 

In many organisations, data is generated across different departments, systems and domains. Centralised data models often reach their limits in such scenarios. Federated data systems enable decentralised responsibility for data, shared standards and governance, as well as flexible integration of heterogeneous data sources. Typical architectural approaches include data mesh, distributed data platforms, metadata and catalogue solutions, and API- and event-based data integration.

Data spaces enable data to be securely exchanged and shared across organisational boundaries. They support sovereign control over one’s own data, reinforce common standards and interoperability, and establish trustworthy data ecosystems and a federated infrastructure. Examples of data spaces include industrial and supply chain ecosystems, mobility and energy data spaces, public data ecosystems, and research and innovation platforms.   

• In the ForeSightNext project, Materna is working with other partners to develop a sovereign data room for energy-efficient and sustainable living.
• In the CO2For-IT research project, Materna is participating in the development of a federated data space for sustainability monitoring in the forestry and timber industry, which will connect more than 120,000 forestry stakeholders in the future.
• The GAIA-X 4 moveID project addresses a wide range of scenarios for intelligent traffic management. A decentralised mobility data space is being developed to enable mutual communication between the digital identities of vehicles and other components of the transport infrastructure.
• Catena-X, the data space specialising in the automotive industry, enables standardised and secure data exchange. As a qualified consultant, Materna supports clients in navigating and establishing themselves within this advanced data ecosystem.
• Dilapidated bridges, outdated planning, and a backlog of renovation and assessment work – Germany faces an urgent need for action regarding bridge renovations. Materna has developed a prototype for a federal data room that can serve as a planning aid for infrastructure operators such as Autobahn GmbH or Deutsche Bahn, as bridge operators, to ensure up-to-date monitoring of bridge conditions. 

Much data has a spatial reference. Geodata is key to integrating complex datasets. Geodata infrastructures make it possible to systematically access this data. They link data from different sources via their spatial context. Typical components include geodata platforms, mapping and visualisation systems, standardised geodata services and metadata catalogues. The fields of application are diverse, ranging from infrastructure and urban planning to environmental and climate data, logistics and mobility, as well as asset and resource management. 

A concrete example: Materna, in collaboration with partners, is digitising almost the entire Bavarian state forest – comprising around 800,000 hectares of woodland – on behalf of the Bavarian State Forestry Authority. In the Forest Planning 4.0 project, the area is being mapped using camera- and laser-based aerial imagery as well as satellite imagery. Information on the composition, location and condition of the vegetation is gathered, from which measures for a more sustainable and climate-resilient forest can be derived. Image analysis and condition assessment are carried out using AI, whilst spatial analyses are performed using GIS.