Intelligent Edge Network Analytics Case Study

This case study outlines the design, development, and implementation of a Network Analytics Platform for the Intelligent Edge Network (iEN). The project aimed to track, monitor, and analyze the health of iEN inventory equipment to maintain network efficiency, scalability, and capacity for seamless data traversal across the customer network. AI and data analytics were utilized to enhance service reliability and prevent disruptions. Key challenges included data integration from various vendors, ensuring scalability with big data architecture, optimizing real-time processing for timely service assurance, and addressing user adoption through targeted training. The solution provided several benefits, such as improved reporting capabilities for network inventory, advanced analytics for network health, and ongoing monitoring to proactively identify potential issues. Additionally, comprehensive BI analytics and Tableau-based reports were developed to visualize network performance, ensuring operational success and resource optimization.