The telecom company, a major regional provider, struggled with a complex data landscape. They managed vast, disparate datasets from network operations (performance metrics, usage patterns), customer service (support tickets, call logs), and sales (subscription data, marketing campaign results). This data fragmentation made it difficult to gain a holistic view of operations. They lacked the ability to provide personalized services, leading to customer churn. Network performance optimization was reactive, resulting in service disruptions and increased operational costs. Marketing campaigns were often generic, failing to resonate with specific customer segments, thus reducing ROI. The lack of integrated insights hampered their ability to proactively address customer needs and optimize network infrastructure.