Development and Application of an Automated Data Analyzer

Abstract

In order to seek and test determinants of unit effectiveness, the ADA was developed based on the idea that search and analysis of large amounts of data can be automated if variables can be converted into a standard form. In addition, the methodology permits an analyst to identify, in a first iteration, large sets of variables and associated parameters he/she thinks may be relevant to an issue, and assist in their refinement, combination, and elimination in later iterations. The ADA does this by providing a concise visual presentation of the relationships among a large number of variables. This facilitates identification of variables and combinations of variables, in complex data sets, that are related to mission outcomes and to each other. Project results show that the ADA analysis can be used to extract mission effectiveness information from the ARI National Training Center (NTC) data base for analyst review and automated data analysis. The method allows considerable flexibility allowing the analyst to adjust, modify, and create new analyses with some ease and flexibility. Use of analysis specification files allows automatic documentation and the repeated use of analyses. Complex analyses can be gradually built to assess company/team and task force (TF) performance.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2002
Accession Number
ADA400503

Entities

People

  • E. M. Connelly

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Computer Programming
  • Computer Programs
  • Data Analysis
  • Data Sets
  • Databases
  • Human Factors Engineering
  • Identification
  • Information Science
  • Iterations
  • Military Research
  • Resilience
  • Social Sciences
  • Standards
  • Task Forces
  • Time Intervals
  • Training
  • Word Processors

Readers

  • Database Systems and Applications
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.