Orisalade, Adedamola Victor (2025) The Role of Data Visualization in Enhancing Business Decision Making: Tools, Techniques, and Organizational Challenges. UNSPECIFIED thesis, UNSPECIFIED.
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Abstract
With an emphasis on its theoretical foundations and real world applications, this thesis project “The Role of Data Visualization in Enhancing Business Decision Making: Tools, Techniques, and Organizational Challenges” explores the key role of data visualization in enhancing decision making for businesses, focusing on its theoretical foundations and practical suggestions. In an era of unmatched data availability, the capability to translate raw data into usable information through visualization is a basis of effective decision making. The study explores best practices drawn from existing literature, emphasizing how businesses can use visualization techniques to develop meaning and promote innovation. The focus on this research is an investigation into the types of data visualization tools and methodologies, along with their appropriateness for addressing diverse business challenges. By analyzing theoretical frameworks, this study highlights the cognitive processes involved in interpreting visual data and how they influence decision making accuracy and speed. Additionally, the thesis addresses the psychological and organizational barriers that may delay the adoption of data visualization practices in small and large enterprises alike. Furthermore, the research tunnels into the relationship between technology and data visualization, exploring advancements in artificial intelligence, machine learning, and interactive dashboards. It discusses how these innovations contribute to more sophisticated data representation and predictive analytics, equipping businesses with anticipation and strategic advantages. By combining theoretical understandings with practical examples, this thesis highlights the transformative potential of data visualization in shaping competitive, data driven business environments. Lastly, this study evaluates the challenges faced in implementing data visualization frameworks, such as data inconsistency, user resistance, and the steep learning curve associated with complex tools. It argues that overcoming these obstacles requires an organizational culture that values data literacy and continuous learning. The findings of this research aim to provide a theoretical foundation for future studies while offering recommendations for businesses looking to incorporate data visualization into their decision making arsenal.
| Item Type: | Thesis (UNSPECIFIED) |
|---|---|
| Additional Information: | Course of Sciences in Computer Engineering |
| Divisions: | Informatika Intézet |
| Depositing User: | Gergely Beregi |
| Date Deposited: | 18 Jun 2025 08:09 |
| Last Modified: | 18 Jun 2025 08:09 |
| URI: | http://szakdolgozat.repo.uniduna.hu/id/eprint/2180 |
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