Acquisition: Acquisition Management of the Army's All Source Analysis System (D-2004-006)

Abstract

Who Should Read this Report and Why? DoD acquisition executives, program managers, and independent testers and evaluators should read this report because similar management control issues may apply to other weapons and information technology acquisitions. The All Source Analysis System (ASAS) is an Army Acquisition Category II, mission-critical weapon system that has been in development since 1979. It is a family of systems being acquired and deployed by evolutionary blocks and spiral version enhancements. A key ASAS component is the Remote Workstation. The combination hardware and software system provides automated information support to intelligence staff elements and other designated intelligence organizations. The Program Executive Officer, Command, Control and Communications Tactical is the ASAS Milestone Decision Authority. The Project Manager, Intelligence and Effects, in coordination with the Army Training and Doctrine Command System Manager and the Army Test and Evaluation Command, acquires, tests, and deploys ASAS hardware and software components. Total Army acquisition development and deployment costs for ASAS could exceed $2.5 billion.

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Document Details

Document Type
Technical Report
Publication Date
Oct 10, 2003
Accession Number
ADA421622

Entities

Organizations

  • Office of the Inspector General, U.S. Department of Defense

Tags

Communities of Interest

  • C4I
  • Electronic Warfare
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Army Personnel
  • Army Procurement
  • Command And Control
  • Command And Control Systems
  • Congress
  • Department Of Defense
  • Deployment
  • Doctrine
  • Governments
  • Information Systems
  • Intelligence Cycle
  • Logistics
  • Military Acquisition
  • Test And Evaluation
  • United States
  • Warfare

Readers

  • Defense Acquisition Program Management
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Software Engineering