Struggling to Integrate and Analyze Diverse Data Sources?

Telecom systems rely on multiple data sources, often stored in relational databases, leading to fragmented insights and inefficiencies. Integrating and analyzing this data to make informed decisions is a significant challenge for operators managing large, dynamic networks.

Frustrated by Relational to Graph Transformation of Telecom Data?

Traditional graph solutions require transforming relational data into graph formats, which is resource-intensive, costly, and time-consuming. Additionally, graph databases often lack scalability, becoming inefficient and expensive to operate as data volumes grow, limiting their viability for large-scale telecom systems.

Untimely Decision-Making in Telecom Systems?

Legacy systems and traditional approaches to data processing are slow and rigid, making it difficult to extract actionable insights in real time. The high operational costs and scalability challenges of graph databases further exacerbate delays, reducing responsiveness to critical events and impacting service quality.