Data & Analytics Platform
Turning sensor data into operational decision advantageThe challenge
Modern defence operations generate rapidly growing volumes of data from sensors, platforms and missions across fragmented sources, formats and security domains.
Commanders and analysts need faster access to trusted, correlated and actionable information, but manual data preparation and disconnected tools slow analysis and decision-making.
The challenge is no longer collecting data. It is making data usable, reliable and operationally relevant at scale.
Our solution
The HENSOLDT Data & Analytics Platform provides a scalable foundation for the efficient use of mission, sensor and intelligence data across the operational lifecycle.
It integrates data from diverse sources, harmonizes and normalizes it into consistent structures, and makes it available for advanced analytics, AI-supported exploitation and mission-oriented decision support. The platform enables both near real-time and asynchronous analysis, supporting operational users from rapid event assessment to long-term multi-mission evaluation.
Built on HENSOLDT’s sensor expertise and Software-Defined Defence (SDD) approach, the Data & Analytics Platform connects the sensor layer with cloud-edge analytics, enabling forces to extract more value from existing assets, reduce manual effort and accelerate the path from data to insight.
Features and benefits
Features
- Integration of large volumes of heterogeneous sensor, mission and operational data
- Data harmonisation, normalisation and quality assurance across multiple sources
- Centralised analytics environment for near real-time and asynchronous processing
- AI-supported analytics for pattern detection, prioritisation and decision support
- Multi-mission analysis for historical comparison, trend identification and operational learning
- Scalable cloud-edge architecture for distributed and mission-adaptable deployments
- Support for standardised metadata, indexing, classification and data governance
- AI training environment for model development, validation and continuous improvement
- Modular architecture for integration into existing and future defence ecosystems
- Secure handling of sensitive mission data with focus on sovereignty and controlled access
Benefits
- Faster insight from complex sensor and mission data
- Reduced manual correlation and preparation effort
- Improved situational awareness across missions and platforms
- More consistent data quality and traceability
- Better exploitation of existing sensor and system investments
- Scalable foundation for AI-enabled defence applications
- Support for sovereign data control and future software-defined capabilities
- Shorter time from detection to operational understanding
- Improved preparation of debriefings, reports and mission assessments
- Stronger basis for cross-platform and cross-domain decision-making
Configuration
Data harmonisation and normalisation
Efficient integration and standardization of large volumes of data from diverse sources to ensure data consistency, quality and operational usability.
The data harmonisation and normalisation component transforms heterogeneous input from sensors, platforms, mission systems and external data sources into a consistent and structured data foundation. It supports metadata enrichment, indexing, classification and quality checks, enabling analysts and downstream applications to work with trusted, comparable and reusable data.
By reducing data fragmentation and manual preparation, this component creates the basis for scalable analytics, multi-mission exploitation and AI-enabled decision support.
Centralised analytics environment
Provision of a centralised analytics platform enabling both near real-time and asynchronous data processing, enhanced by AI technologies.
The centralised analytics environment provides users with a common workspace for exploring, correlating and analysing operational data. It supports interactive visualization, alert triage, timeline reconstruction, anomaly detection and AI-assisted summarization.
Designed for both operational and analytical workflows, it enables rapid assessment of current events as well as deeper exploitation of historical mission data. This allows users to identify patterns, validate hypotheses and generate actionable insights faster and with greater confidence.
AI training environment
Establishment of specialised environments for the development, training and validation of AI models to drive innovative data-driven solutions.
The AI training environment enables the structured development of mission-specific AI capabilities. It provides dedicated environments for data preparation, model training, testing, validation and continuous improvement.
By connecting operational data with controlled AI development processes, this component supports the creation of advanced analytics services such as automated prioritisation, pattern recognition, mission debrief support and predictive analysis. It helps transform domain expertise and sensor data into reusable AI-enabled capabilities for future defence applications.