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Your search for Data Analytics found 69 results.

Center for Data Management Analytics
/centers-and-divisions/ipr/dma
CNA’s Center for Data Management and Analytics partners with FAA, FEMA, NASA and other agencies to optimize data systems for transportation, drones, cyber, etc.
DMA CNA’s Center for Data Management and Analytics partners with FAA, FEMA, NASA and other agencies to optimize data systems for transportation, drones, cyber, etc. /images/Centers/IPR/DMA/DMABanner-1207628947.jpg Center for Data Management Analytics /images/Centers/IPR/DMA/DMABanner-1207628947.jpg fixed left small standard white gray https://www.youtube.com/embed/1ilJ6q9Gduc small gray half OUR ... Center for Data Management and Analytics 1 The Center for Data Management and Analytics  is a premier partner to clients like the Federal Aviation Administration, FEMA and NASA on transportation
CNA Contract Vehicles
/contact/cna-contract-vehicles
Lists CNA's GSA schedule and federal contracts.
. Our work encompasses issues ranging from national security and defense, to homeland security, justice and law enforcement.  We have significant expertise with data management and analytics, and systems ... Hales, Director of CNA’s Center for Data Management and Analytics haless@cna.org | 703-824-2401 gray default FAA eFAST Subcontractor Services: The Electronic Federal Aviation ... : HHSP233201500045I POP: 03/16/2020 to 03/15/2025 SERVICES: Policy Assessments/Analysis; Program Assessments; Evaluation Design Studies and Data Collection; Performance Measurements; Technical
Shaelynn Hales
/our-experts/hales-shaelynn
Shaelynn Hales is a CNA expert in systems engineering, data management, data analytics and integrated program management support.
Hales-Shaelynn Shaelynn Hales is a CNA expert in systems engineering, data management, data analytics and integrated program management support. /images/Experts/Hales-Shaelynn.jpg Shaelynn Hales is an expert in systems engineering, data management, data analytics and integrated program management support. She conducts and oversees industrial engineering, operational analyses, data analyses, business process analyses and systems analyses to inform U.S. decision-makers. Hales oversees CNA's domestic data management and data analysis portfolio, including aviation research for the Federal
Force Readiness
/expertise/force-readiness
CNA analysis and mathematical models help the Department of Defense and domestic law enforcement to recruit, train, retain, and educate optimal forces.
data scientists employ machine learning algorithms and predictive analytics to address personnel issues as a component of the Navy’s Performance to Plan effort. We have applied big-data analyses ... in the Military Services report for more than two decades. Economic Analysis|Data Analytics|Data Management|Modeling and Simulation Gender Research and Analysis /expertise/force-readiness/gender none image ... discuss what big data can and cannot tell us about systemic racism within our military and civilian institutions. Estimating the Effect of a Single-Salary System on Marriage Rates and Retention
Data Science Predictive Analytics Program
/centers-and-divisions/cna/data-science/data-science-predictive-analytics
Providing the Navy with analytical support grounded in machine learning — especially Performance to Plan under the Chief of Naval Operations.
Data Science Predictive Analytics Providing the Navy with analytical support grounded in machine learning — especially Performance to Plan under the Chief of Naval Operations. /images/Centers/CNA/DSD/DSD-DSPA-banner.jpg Data Science Predictive Analytics Program /images/research/F18-Super-Hornet.jpg fixed Fewer than half of Navy F/A-18 Super Hornets were mission-capable in 2018. The Navy leaned ... to Plan Surface Warfare Enterprise Analytic Update: June‐September 2021 report Performance to Plan (P2P)–Cyber: Forum 3 report Most of the work products for the Data Science Predictive Analytics Program
Matt Prebble
/our-experts/prebble-matt
Matt Prebble is a CNA expert in data analytics, operations research, machine learning and space systems.
Prebble-Matt Matt Prebble is a CNA expert in data analytics, operations research, machine learning and space systems. /images/Experts/Prebble-Mat.jpg Matt Prebble is an expert in data analytics, operations research, machine learning and space systems. He supports studies and projects at the Federal Aviation Administration and U.S. Navy. Prebble was part of the CNA team that received the CNA CEO Teamwork Award for performing a congressionally mandated study to investigate the organization and management of a new military space force. Prior to joining CNA, he worked as a space systems
Data Science Division
/quick-looks/2021/data-science-division
Data Scientists at the Center for Naval Analyses develop innovative predictive and prescriptive analytics to tackle the most important challenges in the Department of Defense. These efforts rely on a collaborative partnership between Department of the Navy personnel and data scientists here at the department’s federally funded research and development center (FFRDC).
Data Science Division Data Scientists at the Center for Naval Analyses develop innovative predictive and prescriptive analytics to tackle the most important challenges in the Department of Defense ... , THEN IDENTIFY ROOT CAUSES Our approach has three fundamental steps: Predictive analytics. CNA data scientists use modeling and simulation tools to construct a set of models that accurately ... quickly OUR TEAM Members of the CNA Data Science Division have high-level programming and predictive analytics skills, as well as operational experience from working directly with commanders
Guidance on the Collection and Use of Officer Injury Data Bulletin
/quick-looks/2022/guidance-on-the-collection-and-use-of-officer-injury-data-bulletin
As part of the Bureau of Justice Assistance-funded initiative Using Analytics to Improve Officer Safety, CNA's Center for Justice Research and Innovation produced this bulletin to serve as an accessible resource to support law enforcement agencies in collecting detailed and informative officer injury data. Visit CNA's Officer Safety and Wellness page to learn more about our analytics work.
GUIDANCE ON THE COLLECTION AND USE OF OFFICER INJURY DATA BULLETIN As part of the Bureau of Justice Assistance-funded initiative Using Analytics to Improve Officer Safety, CNA's Center for Justice Research and Innovation produced this bulletin to serve as an accessible resource to support law enforcement agencies in collecting detailed and informative officer injury data. Visit CNA's Officer Safety and Wellness page to learn more about our analytics work. As part of the Bureau of Justice Assistance-funded initiative Using Analytics to Improve Officer Safety, CNA’s Center for Justice Research
Use of Predictive Analytics
/reports/2020/10/use-of-predictive-analytics
This issue brief is a product created through a partnership between BJA and CNA. The Using Analytics to Improve Officer Safety work examines granular incident data from 2015–2019 from several local law enforcement agencies to identify incident characteristics (characteristics specific to the incident and related to officer tactical response) associated with officer assaults, injuries, and line-of-duty deaths. Using machine learning techniques, CNA is producing a risk assessment model to link incident characteristics with officer safety outcomes. This work also entails working with participating agencies to identify best practices and recommendations to reduce risks to officer safety in the line of duty.
 reduction efforts and resource allocations. It is important to understand that predictive analytics cannot tell the future very well. These predictions rely on past data and assume that future criminal ... Use of Predictive Analytics Issue Brief: The Use of Predictive Analytics in Policing This issue brief is a product created through a partnership between BJA and CNA. The Using Analytics to Improve Officer Safety work examines granular incident data from 2015–2019 from several local law enforcement agencies to identify incident characteristics (characteristics specific to the incident and related
Data Science Division
/quick-looks/2021/data-science-division-x763
Data Scientists at the Center for Naval Analyses develop innovative predictive and prescriptive analytics to tackle the most important challenges in the Department of Defense.
Data Science Division Data Scientists at the Center for Naval Analyses develop innovative predictive and prescriptive analytics to tackle the most important challenges in the Department of Defense. Data Scientists at the Center for Naval Analyses develop innovative predictive and prescriptive analytics to tackle the most important challenges in the Department of Defense. These efforts rely ... PERFORMANCE, THEN IDENTIFY ROOT CAUSES Our approach has three fundamental steps: Predictive analytics. CNA data scientists use modeling and simulation tools to construct a set of models