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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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2024
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| Online Access: | http://eprints.utar.edu.my/6878/1/fyp_DE_2024_OZL.pdf http://eprints.utar.edu.my/6878/ |
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| Summary: | 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. |
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