The Role of Data Visualization in Business Intelligence: Analyzing Tool Adoption and Decision-Making outcomes in US Companies

Dipon Das Rahul; Istiaque Mahmud; Hasan  Aqif; MD TARIQUZZAMAN; Samia Akter; Faisal Yousuf Osman; Sayer  Bin Shafi; Hasan Mahmud Sozib

doi:10.48047/j89x8v45

Authors

Dipon Das Rahul Dillard College of Business Administration, Midwestern State University, 3410 Taft Blvd, Wichita Falls, Texas- 76308, US Author
Istiaque Mahmud Dillard College of Business Administration, Midwestern State University, 3410 Taft Blvd, Wichita Falls, Texas- 76308, US Author
Hasan Aqif Dillard College of Business Administration, Midwestern State University, 3410 Taft Blvd, Wichita Falls, Texas- 76308, US Author
MD TARIQUZZAMAN College of Science and Engineering, Southern Arkansas University, Magnolia, Arkansas, 71753, US Author
Samia Akter Dillard College of Business Administration, Midwestern State University, 3410 Taft Blvd, Wichita Falls, Texas- 76308, US Author
Faisal Yousuf Osman Dillard College of Business Administration, Midwestern State University, 3410 Taft Blvd, Wichita Falls, Texas- 76308, US Author
Sayer Bin Shafi Dillard College of Business Administration, Midwestern State University, 3410 Taft Blvd, Wichita Falls, Texas- 76308, US Author
Hasan Mahmud Sozib Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, 141 & 142, Love Road, Tejgaon, Dhaka, 1208, Bangladesh Author

DOI:

https://doi.org/10.48047/j89x8v45

Keywords:

Business Intelligence, Data Visualization, Tableau, Power BI, Elkview.

Abstract

In the modern business landscape, data visualization has become an indispensable element of business intelligence (BI), particularly within the context of US companies. The aim of this research paper is to examine how data visualization technologies might improve business intelligence and decision making in American businesses by examining adaptation, advantages and disadvantages. This research paper explores the transformative contribution of data visualization tools to improving business intelligence capabilities and their significant influence on the processes of decision-making. The study begins by examining the adoption of various data visualization tools and platforms, such as Tableau, Power BI, and Elkview within US companies. It delves into how these tools facilitate the conversion of complex data sets into visually intuitive formats, allowing stakeholders at all levels to grasp trends, patterns, and anomalies with greater ease. By integrating these visualization tools into their BI systems, companies can achieve a more nuanced understanding of their operational landscapes and market dynamics. The paper further evaluates the impact of data visualization on decision-making processes. Through an analysis of case studies and empirical data, it highlights several key benefits, including improved accuracy in data interpretation, enhanced ability to identify actionable insights, and accelerated decision-making timelines. The paper discusses strategies to overcome these challenges, such as ensuring data integrity and investing in user training to maximize the efficacy of visualization tools. Overall, the findings underscore that while data visualization is not a panacea, it significantly augments the decision-making capabilities of US companies by making data more accessible and actionable. The integration of advanced visualization techniques into BI practices is increasingly seen as a strategic advantage, driving both operational efficiencies and competitive differentiation. As data continues to proliferate, the role of data visualization in shaping business strategies and outcomes will likely become even more pronounced, making it a critical area of focus for future research and development in the field of business intelligence.

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