SEI analyzes big data to understand complex interactions among systems, people, and operations for data-driven decision support for modernizing the National Airspace System and improving aviation safety performance.

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Big Data

• Pipelines for automated data collection

• Tools to organize and manage large data pools

• Techniques to translate customer needs into algorithms

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Analysis

• Machine learning to detect risk factors and event patterns

• Data mining methods for unstructured and structured data

• Semantic parsing and natural language processing to derive meaningful information

• Statistical & trend analysis to quantify and qualify data

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Models

• Metrics and visualizations to support decision making

• Data correlations and dependencies to understand decision and change impacts