Paper Details

Name: Abhishek Roushan, Sushil Kumar Garg, Vatsala Singh, Anvi, Tanvi Kanwar & Muskan Devi
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 509-521
DOI: https://doi.org/10.5281/zenodo.19063493

ABSTRACT
Real-time data visualization dashboards are at the forefront of modern decision making since they provide dynamic and interactive visual representation of data. These dashboards allow users to monitor key indicators, identify trends, and make data-driven decisions from real-time insights. In this paper, we present the design and implementation of a successful real-time data visualization dashboard that collects data from multiple sources, processes it dynamically, and presents it in simpleto-interpret visual forms such as charts, graphs, and heatmaps. We discuss some of the technologies and frameworks used for real-time data processing, including Web Sockets, stream processing, and cloud-based analytics. In addition, we address challenges in real-time data visualization such as latency, scalability, and achieving optimal user experience. The study presents best practices for the development of dashboards that are more usable, performance-effective, and able to serve a wide range of applications ranging from business intelligence to industrial automation. Outcomes of this paper contribute towards developing robust, user-centric visualization tools that strengthen decision-making processes in real-time environments.

Keywords- Real-time visualization, Data dashboard, Interactive analytics, Streaming data, Data processing, Webbased visualization, Business intelligence, Industrial monitoring.