Advanced analytics for decision makers.

Data Science for Production

The Data Science for Production Program provides advanced analytical capabilities to support the industrial base in meeting the nation’s urgent defense production needs. The program leverages the data science toolkit and best practices in performance management to identify bottlenecks and barriers to defense production capacity. In addition to its industry-focused work, the team works broadly to enhance the use of data science and advanced analytic techniques across the Department of Defense.

We have an exceptional data science group at the Center for Naval Analyses that uses data in incredibly powerful ways.

Admiral William Lescher, Vice Chief of Naval Operations

Case Study: Big Data Keeps Fighters Flying

Fewer than half of Navy F/A-18 Super Hornets were mission-capable in 2018. The Navy leaned on CNA predictive analytics to help meet a demanding target from the Secretary of Defense to get more jets in the air.

CNA Data Science and Performance to Plan

CNA is the Navy’s data science partner in its Performance to Plan process, known as P2P. CNA employs machine learning algorithms to predict performance and identify root causes of problems in aircraft, ship and submarine maintenance, as well as personnel issues.

The Future of US Alliances and Partnerships: A Data Science Approach

CNA data scientists and political strategists came together to develop machine-learning models that quantify connections between the United States and its allies, partners and adversaries.

reports

Leveraging Efficiency to Improve Performance at Public Naval Shipyards
Highlights from Performance to Plan Logistics
Designing a DDG‐51 Manning Pilot Program
Performance to Plan Surface Warfare Enterprise Analytic Update: June‐September 2021
Performance to Plan (P2P)–Cyber: Forum 3
Most of the work products for the Data Science for Production Program are classified or have distribution limited to the Department of Defense. Visitors with appropriate credentials can find these reports on the CNA SIPR site.

Contact

Vincent Bauer, Research Program Director

bauerv@cna.org