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Automated Data Processing for System-of-Systems Performance Evaluation

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9115U-10-P-0031
Agency Tracking Number: A101-009-0351
Amount: $69,996.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A10-009
Solicitation Number: 2010.1
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-07-09
Award End Date (Contract End Date): 2011-01-10
Small Business Information
75 Aero Camino, Suite A
Goleta, CA 93117
United States
DUNS: 153927827
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Daniel Bancroft
 Principal Investigator
 (978) 927-4774
Business Contact
 Rhonda Adawi
Title: Principal Investigator
Phone: (805) 685-6672
Research Institution

As the scale, cost, and complexity of Army systems performance tests continue to increase, the need for a streamlined data reduction process becomes critical to making definitive and timely acquisition decisions. Major evaluation efforts produce massive data sets related to system or system-of-systems field effectiveness and utility to the warfighter. The process of analyzing data to generate test reports for decision-maker review is challenged by the volume of data, the geographic distribution of test facilities, and the existence of disparate data formats. Recent advances in automation technologies, as well as maturing infrastructures such as JMETC, present a tantalizing prospect in terms of their potential to augment the traditional data analysis process, thereby reducing the timeline, required manpower, and cost associated with system performance evaluation. This proposal suggests a study be conducted to identify various existing and tailorable knowledge management architectures, automation technologies, and software tools and to appraise them based on integration feasibility into Army processing paradigms and perceived benefit to the test evaluator. Frontier Technology, Inc. will leverage years of experience in designing data architectures and innovative automation technologies for DoD customers to recommend a viable course of action to improving the Army’s operational test data process.

* Information listed above is at the time of submission. *

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