Strategic Decision Making Dashboard

Abstract

Decision support is a vital process that equips decision-makers with the necessary insights to make informed choices, thereby enhancing mission readiness and optimizing resource allocation. To offer effective decision support, advisors and analysts must comprehend the decision-makers priorities and employ decision support tools that deliver flexible and immediate visual representations of resources. In this study, I advocate for the implementation of data analytics tools specifically designed to aid management decisions through data analysis. My evaluation focuses on potential solutions for the future creation of a strategic decision-making dashboard. I assess data analytics tools for their capacity to furnish decision support capabilities that align with management decisions throughout the decision-making process. The research delves into the strengths and weaknesses of each data analytics tool examined. The ideal design should offer decision-makers data visualization techniques that empower them to make informed management decisions, ensuring resource efficiency and the advancement of organizational objectives. In conclusion, the research conducted supports the use of suitable data analytics tools and the future development of a strategic decision-making dashboard.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2023
Accession Number
AD1213120

Entities

People

  • Lee A. Boyce

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Air Force
  • Application Software
  • Business Administration
  • Commerce
  • Computer Programs
  • Data Analysis
  • Data Management
  • Data Mining
  • Data Visualization
  • Department Of Defense
  • Employment
  • Information Science
  • Information Systems
  • Literature Surveys
  • Management Personnel
  • Organizational Structure
  • Web Browsers

Readers

  • Defense Acquisition Program Management
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.