Data Quality Engineering Handbook.

Abstract

This Data Quality Engineering (DQE) Handbook describes the procedures adopted by the Defense Logistics Agency (DLA) for improving or restoring the quality of the data in corporate information systems. The handbook is written for team leaders and their team of functional 'users' of data and not necessarily a data administrator, database administrator, or other specially trained individual. The handbook is intended to be used by the person who creates or uses data and who has a vested interest in the reliability, validity, and accuracy of the data values stored in DLA database systems. Data Quality Engineering is a proven process for restoring the validity, accuracy, and reliability of the data maintained in information systems. The DQE methodology uses TQM principles.

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Document Details

Document Type
Technical Report
Publication Date
Jun 28, 1994
Accession Number
ADA315573

Entities

Organizations

  • Defense Logistics Agency

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Computer Programming
  • Computers
  • Control Systems
  • Department Of Defense
  • Engineering
  • Information Systems
  • Materials
  • Military Equipment
  • Operating Systems
  • Personnel Management
  • Quality Control
  • Reliability
  • Robotics
  • Spreadsheet Software
  • Standards
  • Total Quality Management

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Economics
  • Organizational Process Management (OPM).