Visualizing Big Data: A Comparative Analysis of Data Visualization Techniques for Enhanced Decision Support

Abstract

This research study conducts a comprehensive comparative analysis of data visualization techniques within the context of Big Data, with a focus on their role in enhancing decision support. In an era marked by the exponential growth of data, effective data visualization has emerged as a critical tool for facilitating meaningful insights and informed decision-making. Through an extensive literature review and empirical analysis, this research explores the diverse landscape of data visualization techniques, highlighting their context-dependent effectiveness. The findings demonstrate that while various visualization methods offer distinct advantages, the choice of technique should align closely with the specific goals and complexities of the decision-making process. The study also addresses challenges associated with data visualization, including the need for skilled personnel, data quality considerations, and accessibility issues. In conclusion, this research contributes a systematic framework for evaluating data visualization techniques and provides practical recommendations for organizations aiming to harness the full potential of data visualization in the era of Big Data.