Data visualization plays a critical role in Big Data analytics by presenting complex datasets in an easily digestible format. Charts, graphs, and dashboards allow stakeholders to quickly interpret the data and make informed decisions. Without visualization, raw data can be overwhelming and difficult to comprehend, especially when dealing with millions of data points.

Tools like Tableau, Power BI, and Google Data Studio make it easier to create interactive visuals from Big Data. For example, a healthcare organization can use visualization to monitor real-time patient data and track the spread of diseases. In business, visualizations can highlight trends in sales performance, helping management adjust strategies promptly. Well-designed visuals improve understanding, enhance communication, and speed up decision-making processes, making data visualization indispensable in Big Data analytics.