Data Visualization Model for Multi-party Analysis and Strategic Decision-Making in International Trade

Keywords: data integrity, multi-party analysis, international trade, strategic decision-making, tableau

Abstract

This paper presents a detailed analysis of Ecuador’s non-oil exports over ten years. The study was performed using the SPEM methodology and data-cleaning processes. The results highlight a notable coherence in analyzing the most relevant export items and the main trading partners, providing essential information for strategic decision-making. Furthermore, recommendations related to the technical conditions necessary to achieve precise and accurate communication through data visualization were considered, and adequate answers to the questions generated in the business knowledge stage contributed to the users’ knowledge.
Furthermore, the study suggests incorporating import data to enhance the analysis and provide a foundation for future research in this area.

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Author Biography

Jorge Luis Zambrano-Martinez, Ph.D., Universidad del Azuay

Ph.D. in Computer Science received in Department of Networking Research Group (GRC) at the Universitat Politècnica de València (UPV) from Spain in 2019, included an awarded international doctoral and an awarded Cum Laude. He graduated in Master's Degree in Information and Communication Technology Security at Universitat Oberta de Catalunya in 2018. He graduated in Master’s Degree in Computer Engineering at Universitat Politècnica de València (UPV) in 2015. He graduated in Systems Engineering at Polytechnic University Salesian (Ecuador) in 2011. His research interests include Vehicular Networks, Smart Cities & IoT, Network Security, ITS, and Computer Vision.

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Published
2025-01-07
How to Cite
[1]
I. Molina Alarcón, L. Tonon-Ordóñez, J. L. Zambrano-Martinez, and M. Orellana, “Data Visualization Model for Multi-party Analysis and Strategic Decision-Making in International Trade”, LAJC, vol. 12, no. 1, pp. 13-26, Jan. 2025.
Section
Research Articles for the Regular Issue

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