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Data visualisation system for enhanced stock inventory management

The central focus of the project titled "Enhanced Data Visualisation System for Stock Inventory Management" revolves around bolstering data visualisation and interpretation capabilities within the context of stock inventory management. It aims to overcome the limitations associated with in...

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Main Author: Ong, Zhi Le
Format: Final Year Project / Dissertation / Thesis
Published: 2024
Subjects:
H Social Sciences (General)
T Technology (General)
Online Access:http://eprints.utar.edu.my/6878/1/fyp_DE_2024_OZL.pdf
http://eprints.utar.edu.my/6878/
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spelling my-utar-eprints.68782025-02-14T06:58:06Z Data visualisation system for enhanced stock inventory management Ong, Zhi Le H Social Sciences (General) T Technology (General) The central focus of the project titled "Enhanced Data Visualisation System for Stock Inventory Management" revolves around bolstering data visualisation and interpretation capabilities within the context of stock inventory management. It aims to overcome the limitations associated with insufficient functionalities and visualisations, which often hinder effective decision-making and insights extraction. At its core, this project is driven by two primary objectives. Firstly, it seeks to enrich data visualisation tools and techniques to empower organizations in the realm of stock inventory management. By addressing the shortcomings related to the availability of functionalities and visualisations, the project aims to provide more comprehensive and intuitive tools for users. This enhancement is crucial for streamlining inventory control, reducing operational costs, and improving overall efficiency. Secondly, the project strives to enhance the clarity and precision of data patterns through the strategic application of data visualisation. By harnessing advanced visualisation techniques, it aims to make data patterns more discernible and facilitate more accurate predictions. These improvements are expected to elevate the quality of decision-making within organizations, thereby driving efficiency and profitability. In summary, this project endeavours to revolutionize inventory control practices by addressing limitations and improving data visualisation tools. Through these enhancements, it seeks to make data patterns more accessible, predictions more accurate, and inventory management more efficient, ultimately leading to better-informed decision-making and optimized stock inventory operations. 2024-05 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6878/1/fyp_DE_2024_OZL.pdf Ong, Zhi Le (2024) Data visualisation system for enhanced stock inventory management. Final Year Project, UTAR. http://eprints.utar.edu.my/6878/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic H Social Sciences (General)
T Technology (General)
spellingShingle H Social Sciences (General)
T Technology (General)
Ong, Zhi Le
Data visualisation system for enhanced stock inventory management
description The central focus of the project titled "Enhanced Data Visualisation System for Stock Inventory Management" revolves around bolstering data visualisation and interpretation capabilities within the context of stock inventory management. It aims to overcome the limitations associated with insufficient functionalities and visualisations, which often hinder effective decision-making and insights extraction. At its core, this project is driven by two primary objectives. Firstly, it seeks to enrich data visualisation tools and techniques to empower organizations in the realm of stock inventory management. By addressing the shortcomings related to the availability of functionalities and visualisations, the project aims to provide more comprehensive and intuitive tools for users. This enhancement is crucial for streamlining inventory control, reducing operational costs, and improving overall efficiency. Secondly, the project strives to enhance the clarity and precision of data patterns through the strategic application of data visualisation. By harnessing advanced visualisation techniques, it aims to make data patterns more discernible and facilitate more accurate predictions. These improvements are expected to elevate the quality of decision-making within organizations, thereby driving efficiency and profitability. In summary, this project endeavours to revolutionize inventory control practices by addressing limitations and improving data visualisation tools. Through these enhancements, it seeks to make data patterns more accessible, predictions more accurate, and inventory management more efficient, ultimately leading to better-informed decision-making and optimized stock inventory operations.
format Final Year Project / Dissertation / Thesis
author Ong, Zhi Le
author_facet Ong, Zhi Le
author_sort Ong, Zhi Le
title Data visualisation system for enhanced stock inventory management
title_short Data visualisation system for enhanced stock inventory management
title_full Data visualisation system for enhanced stock inventory management
title_fullStr Data visualisation system for enhanced stock inventory management
title_full_unstemmed Data visualisation system for enhanced stock inventory management
title_sort data visualisation system for enhanced stock inventory management
publishDate 2024
url http://eprints.utar.edu.my/6878/1/fyp_DE_2024_OZL.pdf
http://eprints.utar.edu.my/6878/
_version_ 1825167448182095872
score 13.244413

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