Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4784
Title: Visualizing Business Intelligence Within Supply Chains: A Comparative Analysis Between USAF and Industry Leaders
Authors: Alexander Siangpipop
Keywords: Business Intelligence (BI)
Supply Chain
Air Force Logistics (USAF)
Comparative Analysis
USAF (US Air Force)
Issue Date: 15-Dec-2022
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Logistic Management;NPS-LM-23-006
Abstract: The purpose of this research is to provide the United States Air Force (USAF) with visualization of business intelligence within supply chain lessons learned and best practices. The comparative analysis was conducted between Air Force Installation Contracting Center’s (AFICC) Business Intelligence Competency Cell (BICC) and a Supply Chain Industry Leader, Flex Ltd. This 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 visualizations within business intelligence of supply. This research is comprised of literature review from various subjects including visualization theories, design considerations, supply chain visualization, and data-driven decision making. Methodologies included semi-structured and narrative interviews and thematic and comparative analysis. The prevailing theme of this research is increasing the speed of understanding; this is achieved through ensuring human centered design, simplicity, and consistency is considered and included in all aspects of visualization. With this research, I created a business intelligence visualization framework model that will guide designers, stakeholders, and end-users in creating/designing business intelligence visualizations that will augment their capabilities via increased speed of understanding.
Description: Logistics Management / Graduate Student Research
URI: https://dair.nps.edu/handle/123456789/4784
Appears in Collections:NPS Graduate Student Theses & Reports

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