Enhancing Business Decision-Making with Advanced Data Visualization: A Sectoral Comparative Analysis

Israel Ayoola
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Israel Ayoola: Department of Mathematics, University of Ilorin.

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 10, 1-8

Abstract: In today’s data-driven business landscape, advanced data visualization techniques have emerged as critical tools for enhancing decision-making processes across various industries. This comparative study explores the impact of these techniques in sectors such as finance, healthcare, retail, and energy. The research highlights how interactive dashboards, heat maps, 3D visualizations, and geospatial tools facilitate real-time data interpretation, enabling decision-makers to identify trends, patterns, and anomalies more efficiently. By examining the adoption and application of data visualization tools, the study provides insights into how businesses across sectors leverage these technologies to optimize operations, forecast trends, and mitigate risks. Furthermore, it discusses the cognitive and technological frameworks that make data visualization effective and the challenges organizations face in implementing these tools. The findings demonstrate that while advanced visualization tools significantly enhance decision-making capabilities, industries must adapt to evolving technologies and address issues related to data privacy, security, and overreliance on simplified representations.

Date: 2024
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