With the rapid expansion of smart phones and other connected mobile devices, communications service providers (CSPs) need to rapidly process, store, and derive insights from the diverse volume of data traveling across their networks. Big data analytics can help CSPs improve profitability by optimizing network services/usage, enhancing customer experience, and improving security. The potential for Telcos to profit from applying data science effectively is substantial. We can:
Predict the periods of heaviest network usage
Target steps to relieve congestion
Identify the customers most likely to defect
Target steps to prevent churn
Identify the customers most likely to have problems paying bills
Target steps to improve the recovery of payments
Data Use Cases In Telecom
Telecommunication companies collect massive amounts of data from call detail records, mobile phone usage, network equipment, server logs, billing, and social networks, providing lots of information about their customers and network, but how can telecom companies use this data to improve their business?
Most telecom use cases fall into these main categories: customer acquisition and retention, network services optimization, and security.