Leonardo’s Data2Value is a state-of-the-art Big Data analytics end-to-end platform. It is a game-changer that sets new standards in defence data intelligence and everyday business operations. Imagine a world where diverse data sources integrate seamlessly, empowering you with advanced analytical capabilities at your fingertips, transforming data advantage into AI advantage.

From stock management to personnel oversight, fleet management to intelligence, Data2Value offers a modular mesh of products that scale to meet your needs and budget. What sets the platform apart is its unique ability to function as a configurable data lakehouse in a high security on-premise environment. This means it can seamlessly integrate and manage your data – whether structured or unstructured – providing the combined benefits of a data warehouse and a data lake. You don’t need to install all the modules to see value; Data2Value delivers immediate benefits.

Leonardo’s commitment to security, compliance and innovation ensures that Data2Value stands as a dynamic solution, transforming data into actionable intelligence. We set a new benchmark for excellence by providing end-to-end control of the machine learning application process. Our platform is designed to shape the future of data-driven decision making in a secure, versatile and user-friendly environment. Moreover, Data2Value is containerised for deployment into any environment that suits your requirements, setting it apart from 90% of the marketplace. Whether you need a data platform for an official classification cloud environment or an above-secret on-prem environment Data2Value has you covered.

Explore more about our Secure Data Platform on this site. Dive in and discover the future of Big Data platforms today!

Here are some examples, of how our data platform can help with efficiency

Automated Data Processing:

• Definition: Automated data processing involves using tools, scripts, or workflows to handle data collection, transformation and analysis without manual intervention.
• Examples:
• Data Ingestion Pipelines: Automatically pulling data from various sources (databases, APIs, files) into your platform
• Scheduled ETL Jobs: Running data transformations at specific intervals (e.g., hourly, daily) to keep data up-to-date
• o    Automated Data Validation: Checking data quality automatically and flagging issues

Streamlined Workflows:

• Definition: Streamlining workflows means optimising processes to reduce unnecessary steps, delays and bottlenecks.
• Examples:
  • Automated Approvals: Implementing approval workflows that trigger automatically, based on predefined rules
  • Integration with Existing Systems: Data2value seamlessly integrates with your existing tools (CRM, ERP, etc.) to avoid manual data duplication
  • Task Automation: Automating repetitive tasks such as data exports, report generation or notifications

Real-Time Analytics:

• Definition: Real-time analytics allows organisations to analyse data as it arrives, enabling timely decision making.
• Examples:
  • Monitoring Dashboards: Real-time dashboards display live data, helping teams track KPIs, performance and anomalies
  • Alerts and Notifications: Automated alerts trigger when specific conditions are met (e.g., sudden traffic spikes, low inventory levels)
  • Fraud Detection: Real-time analytics can instantly identify fraudulent transactions or suspicious patterns

Data Quality Management:

• Definition: Ensuring data quality is essential for efficient decision-making. Data2value provides tools for maintaining high-quality data.
• Examples:
  • Data Profiling: Automatically analysing data to understand its structure, completeness and potential issues
  • Data Cleansing: Automated processes to remove duplicates, correct errors and standardise formats
  • Validation Rules: Implementing rules to validate data during ingestion or transformation