In the dynamic telecom industry, real-time data visualization plays a critical role in enhancing decision-making by providing actionable insights that enable operators to respond swiftly to network performance issues, customer demands, and market trends. This paper presents a conceptual framework for real-time data visualization in telecom networks, integrated with business analytics to optimize network management and improve strategic business decisions. As telecom networks become increasingly complex with the integration of 5G, IoT, and cloud technologies, the need for advanced data visualization tools that can process and display real-time information has never been more crucial. The framework proposed in this study emphasizes the integration of real-time data streams from network infrastructure with advanced visualization techniques, including dashboards, heatmaps, and interactive graphs. By leveraging big data analytics and machine learning algorithms, telecom operators can gain deeper insights into network usage, traffic patterns, and service performance, facilitating proactive management of network resources and customer experience. Furthermore, this framework aligns network performance monitoring with broader business analytics, allowing decision-makers to correlate operational data with financial metrics, customer satisfaction, and market positioning. Key components of the framework include data collection from diverse network sources, data transformation for visualization, and the use of predictive analytics to forecast trends and identify potential issues before they escalate. Real-time data visualization enables telecom managers to monitor KPIs, optimize resource allocation, and quickly address bottlenecks or service disruptions. The paper also explores the benefits of integrating data visualization into telecom business strategies, such as enhancing customer engagement, improving operational efficiency, and driving innovation. Ultimately, this conceptual framework offers a comprehensive approach to utilizing real-time data visualization and business analytics in telecom networks, fostering better decision-making, reducing operational risks, and enhancing overall business performance.