Turkcell elevates fixed broadband performance with Nokia AI-powered analytics

Overview

Turkcell, a leading technology company and mobile operator in Türkiye, sought to significantly enhance its fixed broadband performance and service quality for its extensive customer base. Recognizing the critical role of stable and high-quality home connectivity in the evolving digital landscape, Turkcell aimed to implement a proactive, data-driven approach to network management that would minimize disruptions and optimize operational efficiency.

Turkcell faced the challenge of ensuring consistent, high-quality fixed broadband service for over 3 million customers amidst increasing demand for reliable home connectivity. The objective was to move beyond reactive problem-solving to a proactive maintenance model, detecting potential network issues before they impacted subscribers, thereby strengthening service continuity and improving overall customer experience.

Turkcell implemented Nokia's AI-powered fixed network analytics solution. This comprehensive system provides end-to-end visibility of Turkcell’s fixed broadband experience, from access networks to subscriber home networks. Built on a modern, cloud-native architecture, the solution enables AI-driven automation to detect potential issues proactively, allowing for faster and more accurate intervention. The system processes service-quality data collected hourly from an estimated 15 million smart and connected devices, bringing performance and experience monitoring to near real-time levels.

The deployment of Nokia's AI-powered fixed network analytics solution has delivered substantial benefits for Turkcell:

• Enhanced service continuity: Potential issues are detected proactively through AI-driven automation, significantly reducing the risk of faults and outages.
• Improved operational efficiency: The solution streamlines operational processes by providing a more complete view of network behavior, supporting earlier identification and more accurate prioritization of network issues.
• Increased customer satisfaction: Faster and more accurate intervention capabilities, coupled with proactive maintenance protocols, ensure a frictionless experience for customers, minimizing the need for support calls.
• Large-scale data processing: The system processes service-quality data hourly for approximately 15 million smart and connected devices, providing deep insights into network performance.
• Future-readiness: The cloud-native architecture ensures scalability, resilience, and paves the way for future autonomous and cognitive network operations.