Creating Modular Algorithms to Solve Multiple Client Needs
The Challenge: For another assignment, the analysis leveraged data that was collected during a large all-service military exercise and resulted in the identification of several sources of inherent error in the overall system of systems.
Our Approach: Fuel senior analysts conducted a major performance analysis of the national technical means SIGINT architecture for a major Intelligence Community organization.
The Result: Subsequent to the analysis, these errors were fixed, and the client saw an overall improvement in SIGINT geolocation accuracies. Further, beyond the obvious long-term benefits of improved system performance, the analytic techniques and software scripts developed by Fuel analysts provided payoff far beyond the initial architecture analysis, since they served as modular algorithms — effectively a library — available for subsequent studies.