Axiros محفظة المنتجات

Traditional device management solutions, such as TR-069, have played a significant role in enabling remote configuration, monitoring, and updates. However, as networks grow in complexity and scale, these legacy protocols face limitations in security, efficiency, and flexibility. In this blog, we explore the challenges of traditional device management, the evolution of new protocols, and the transformative role AI plays in optimizing device operations. Let’s dive into the future of intelligent device management.

In Part 1 of this blog series, we explored data-driven insights into churn behaviour, leveraging Axiros' solutions to analyze real-world subscriber data. Through graphical analysis, correlation studies, PCA dimensionality reduction, and statistical tests, we uncovered key indicators of churn and how telecom providers can mitigate it.

Now, in Part 2, we take a deeper dive into Churn Analysis and Correlation Insights, identifying patterns that drive customer churn.

In part 1 of this blog post, we explore data-driven insights on churn behavior, leveraging Axiros' solutions to analyze real-world subscriber data. Through graphical analysis, correlation studies, PCA dimensionality reduction, and statistical tests, we uncover the key indicators of churn and what telecom providers can do to reduce it.

So, the big question remains: Why are your customers leaving—and how can you stop it? Let’s dive in.