VISUALIZING BUSINESS INTELLIGENCE WITHIN SUPPLY CHAINS: A COMPARATIVE ANALYSIS BETWEEN USAF AND INDUSTRY LEADERS
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Authors
Siangpipop, Alexander R.
Subjects
data
decision-making
visualization
supply chain
analysis
USAF
AFICC BICC
industry
Flex Ltd.
speed of understanding
business intelligence
design decisions
design challenges
design principles
framework
model
data visualization
decision-making
visualization
supply chain
analysis
USAF
AFICC BICC
industry
Flex Ltd.
speed of understanding
business intelligence
design decisions
design challenges
design principles
framework
model
data visualization
Advisors
Finkenstadt, Daniel J.
Josephson, Brett, George Mason University
Date of Issue
2022-12
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
The purpose of my research is to provide the United States Air Force (USAF) with visualization of business intelligence within supply chain lessons learned and best practices. Comparative analysis was conducted between Air Force Installation Contracting Center’s Business Intelligence Competency Cell and a Supply Chain Industry Leader, Flex Ltd. My research provides best practices for USAF in enhancing readiness through supporting supply chain resiliency modernization efforts as described in Executive Order 14017 and Department of Defense Action Plan (Securing Defense-Critical Supply Chains).
This research identified best practices to better understand, integrate, and create business intelligence (BI) visualizations within supply chains (SC). This research comprises literature review from various subjects including visualization theories, design considerations, SC visualization, and data-driven decision making. Methodologies included semi-structured/narrative interviews and thematic/comparative analysis. The prevailing theme of this research is increasing the speed of understanding; this is achieved through ensuring that human centered design, simplicity, and consistency are considered and included in all aspects of visualization. With this research, I created a BI visualization framework model that will guide designers, stakeholders, and end-users in creating/designing BI visualizations that will augment their capabilities via increased speed of understanding.
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Thesis
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Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.