Executive Summary
This research develops a prototype relational database system for managing Fleet Battle Experiment (FBE) data. Its objective is to create a database capable of generating information from past experiments for analysis and lessons learned, benefiting future FBEs and war games. The system design includes a transaction-based data model focusing on information flow to categorize and store data.
Why It Matters
This document is crucial for defense analysts as it details a system designed to improve the analysis and learning from naval fleet battle experiments, directly impacting future naval doctrine and operational effectiveness.
Key Takeaways
- A prototype relational database was developed to manage Fleet Battle Experiment (FBE) data for analysis and lessons learned.
- The system uses a transaction-based data model to categorize and store information flow from FBEs and war games.
- The database aims to provide a knowledge-base for future naval experiments, enhancing strategic planning and tactical development.
Strategic Relevance
The development of a robust data management system for Fleet Battle Experiments directly supports the U.S. Navy's ability to analyze, learn from, and improve its operational doctrine and tactical approaches. By systematically capturing and querying experiment data, it enhances the efficiency of military innovation and preparedness.