Strategic Information Planning: Framework for Designing and Developing System Architectures

Abstract

Strategic information systems planning is a disciplined, systematic approach to determining the most effective and efficient means of satisfying organizational information needs. It is a top-down, structured approach which, to be successful, must employ technical and managerial processes in a systems engineering context. Under this approach, the characteristics of the system's hardware, software, facilities, data, and personnel are identified and defined through detailed design and analysis to achieve the most cost-effective system for satisfying the organization's needs. The process must consider system life cycle management and the organization's policy and budget as important integral factors, and include all organizational participants (e.g., managers, users, maintainers, operators, and designers) throughout the process. It is an iterative process in that changes identified during the process must be evaluated to determine their effect on completed analyses. Strategic information systems planning is not a one-time event-it should be revisited periodically to ensure a system's continued viability in meeting information needs and achieving long-term missions.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1992
Accession Number
ADA265559

Entities

Organizations

  • United States Government Accountability Office

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Application Software
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Management
  • Engineering
  • Government Procurement
  • Governments
  • Information Processing
  • Information Systems
  • Life Cycle Management
  • Life Cycles
  • Operating Systems
  • Reliability
  • Software Development
  • Systems Engineering

Fields of Study

  • Engineering

Readers

  • Life Cycle Cost Analysis
  • Organizational Process Management (OPM).
  • Software Engineering.