Predictive Analytics Solution for Disparate Data Systems – Phase V

NCMS Project #: 142199

Problem: Time dependent competition for resources, to include money, people, and equipment, across known and unknown demands creates a complex decision environment for leaders and operators of large private and public sector organizations.  The technology gap associated with bringing together disparate data, automated workflow and intelligent predictive analytics results in higher product costs, job uncertainty and puts American industry at risk against our near peer competitors potentially impacting the United States economy.

Benefit: This project will use one of the world’s largest organizations, the U.S. Army, as a surrogate to demonstrate this technology.  Lessons learned will be applicable across a wide variety of other Services, and commercial entities who are tasked with maintenance and sustainment of fleets and operations.

Solution/Approach: The objective of this initiative is to assess and demonstrate the impact of a technology enabled integrated decision support platform on maintenance and sustainment of current and future commercial and warfighting operations.  Phase V will focus on enhancing the prototype, expand data sources, and support the addition of the Re-ARMM policy efforts.  Phase V will also advance the predictive analytics capability within the accredited environment, continue completion of a robust data set used for pattern detection through data mining, and creation of a digital modernization dashboard which will help validate the tool’s ability to display data for leaders then provide the analytics needed to make decisions.

Impact on Warfighter:

  • Reduce maintenance and sustainment costs 
  • Increase warfighter readiness 
  • Enhance planning and decision making 
  • Provide ability for near real-time collaboration 

DOD Participation:

  • United States Army G3/5/7, US FORSCOM

Industry Participation:

  • NuWave Solutions
  • NCMS

Benefit Area(s):

  • Cost savings
  • Obsolescence management and continued maintenance capability
  • Improved readiness

Focus Area:

  • Business IT and analytics