Saudi Cultural Missions Theses & Dissertations
Permanent URI for this communityhttps://drepo.sdl.edu.sa/handle/20.500.14154/10
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Item Unknown Exploring the Impact of Visual Data Analysis on Digital Transformation Initiatives: A Case Study in Saudi Arabia's Oil Market(Birkbeck University of London, 2024) AlHumaidy, Hessa; Alsurmi, AbdulrahmanThis study aims to investigate the role and impact of data visualisation tools, with a specific focus on Power BI, in studying market forces and developments within Saudi Arabia's oil industry. The research aims to examine how insights derived from such visual analysis can inform and augment strategic decision-making processes for organizations experiencing digital transformation efforts. By focusing on Power BI, this study aims to show how efficiently this tool can be utilized to bridge the gap between raw data and actionable insights, eventually driving more informed and efficient decisions in the oil industry. Pragmatism has been selected to be the research methodology for this study. It is an approach that focuses more on pragmatic solutions and outcomes, which directly lines up with the objective of data analysis and visualisation on Saudi oil sector trends by Power BI. This research study focuses on the application of a quantitative approach as the basis for exploratory research on the role played by data visualisation tools in the analysis of market forces and trends within the oil industry in Saudi Arabia. This study determines that Power BI is an indispensable tool for organizations in Saudi Arabia's oil industry, particularly in the context of digital transformation. The research establishes that Power BI’s ability to provide real-time, actionable insights from complex datasets not only enhances strategic decision-making but also supports the broader objectives of economic diversification and sustainability. By leveraging data visualisation techniques, organizations can navigate the complexities of the global energy market, optimize their operations, and make informed decisions that drive long-term success.52 0Item Unknown The Role of Data Visualization in Web-Based Data Analysis Tools(Swansea University, 2023) Alzahrani, Batool; Gaya, RandellIn the age of increasing data importance, individuals and organisations must be able to effectively comprehend and use the data they gather. This project presents a web-based data analysis platform that aims to provide a user-friendly alternative to conventional spreadsheet applications. The system employs Laravel, a PHP-based web application framework, to construct a platform that facilitates data input, visualisation, and processing functionalities, serving the needs of a variety of users, from novices to professionals. The platform is designed to give customers enhanced data analysis capabilities, enabling them to collect real-time data, analyse it effectively, and extract practical insights. The project hereby seeks to develop a robust and scalable data storage and processing framework that prioritises security while remaining user- friendly. This framework will employ cutting-edge methods, including statistical analysis and machine learning algorithms, to give the platform valuable features, such as strong user authentication, preconfigured calculation routines, templates, and efficient data input/output capabilities. The overall aim is to improve the user experience and enable informed decision-making by emphasising dynamic table generation, interactive data visualisation, graph creation, and export capabilities. The primary objective hereby is to provide a comprehensive and adaptable web-based data analysis tool that fulfils the changing requirements of modern society, where expertise in data science is essential for achieving success in many sectors.33 0Item Unknown Interactive Visualization and Analysis Dashboard for Social Media Networks and Multivariate Data(Saudi Digital Library, 2023-12-01) Aldawsari, Luluh; Cantu, AlmaResearching the fusion of data visualization, network analysis and interactive elements, especially when dealing with a significant number of nodes, is beneficial for examining the social behaviors and connections of people. Indeed, it can open avenues for future research into data-driven insights and targeted communication strategies. We introduce an interactive dashboard developed using the JavaScript d3.js library to visualize Facebook network data. The dashboard shows node metrics and network metrics to identify influential nodes through degree centrality and other metrics. Additionally, community detection using Louvain algorithms clusters the network into communities. Node features, representing various user characteristics, are visualized through a parallel coordinate plot, revealing trends and correlations. The dashboard is made interactive with tooltips, click events, and node dragging for an effortless user experience. Its success in presenting network structures and user insights holds promising implications for marketing strategies and decision-making. Overall, this research contributes to the field of data visualization and network analysis, offering valuable tools for understanding social network dynamics and optimizing digital communication strategies. The interactive dashboard empowers users to explore and gain valuable insights from complex network data, paving the way for future advancements in the realm of data-driven insights and targeted marketing efforts13 0