Data science is critical to many QTSI projects and programs. We are leaders in the areas of relational database design, implementation, operation, and optimization. Our databases must remain functional and accessible while storing large amounts of new data from internal and external sources, handling processed data, and generating archives (which reach back more than 50 years in some instances). The databases must be maintained, repaired, and optimized for efficiency, addressing problem areas before they affect data retrieval and exploiting opportunities for increasing performance, reliability, and capacity.

Our engineering and scientific staff includes experts in both transactional and technical signature databases and their linkages to analyst interfaces, data and information sourcing, and output reporting tools.