Exploratory Data Analysis (EDA) employing Tableau and Power BI offers a comprehensive approach to understanding the dynamics of highway accidents. By leveraging the capabilities of these powerful data visualization tools, a detailed examination of various factors contributing to accidents on highways is facilitated. Through intricate analyses of data encompassing variables such as weather conditions, road features, and incident times, patterns and correlations emerge, shedding light on underlying trends and potential causal factors. This analytical endeavor transcends mere data exploration; it serves as a catalyst for informed decision-making and strategic planning in diverse sectors including infrastructure development, law enforcement, and transportation safety. The interactive nature of the visualizations not only aids in identifying critical insights but also facilitates stakeholder engagement and collaboration. As stakeholders delve into the visual representations, they gain deeper insights into the complex interplay of factors influencing highway safety. Armed with this knowledge, stakeholders can develop proactive measures aimed at mitigating risks and preventing accidents, thereby fostering a safer and more secure highway environment for all road users. Through continuous refinement and iteration, the EDA process utilizing Tableau and Power BI serves as a cornerstone for evidence-based policymaking and targeted interventions, ultimately leading to tangible improvements in highway safety and overall transportation infrastructure.