QDXray

QDXray is a data-driven improvement solution designed for Telecommunications providers, Cable network operators, Internet service providers, Network operations teams, and IT professionals in the telecommunications industry. According to the vendor, this SaaS Cloud-based solution aims to enhance network quality, reduce service disruptions, and optimize the customer experience. With a focus on data science and AI, QDXray enables continuous quality monitoring and improvement projects, making it a valuable tool for businesses in the telecommunications and network operations sectors.

Key Features

According to the vendor, QDXray provides Telco's and MSO's with data-driven insights on network quality and service disruptions. The SaaS Cloud-based solution is said to deliver actionable items and help lower Mean-time-to-Diagnose (MttD) figures, potentially leading to improved Quality of Experience (QoE) and reduced customer churn.

As per the vendor, QDXray collects network telemetry from various sources, including network equipment, customer premises equipment, WiFi-mesh, and mobile networks. This data serves as the foundation for advanced data science and AI engines, enabling digital transformation and unlocking data-driven potential.

The vendor claims that QDXray's cloud deployment eliminates the need for datacenter deployment, potentially resulting in a better Total Cost of Ownership (TCO) and predictable spend. This advantage allows for maintaining feature velocity while reducing operational complexities.

According to the vendor, QDXray ensures end-to-end quality assurance for FTTx, DOCSIS/HFC, WiFi, and mobile networks. It aims to act as the missing link in the customer's QoE chain, adding WiFi quality indicators to the end-to-end experience metrics. The solution is said to aim at improving the customer journey and leaving a positive impression.

The vendor states that QDXray offers intuitive and dynamic dashboards that help quickly pinpoint network issues. The user-friendly interface and dashboards are claimed to enable reactive and proactive maintenance without the need for extensive expertise to interpret the data.