Telecom Project
Price On RequestOur Analytics engine is helping service providers to innovate and maximize their revenue potential. It necessarily requires right solution to be in place so that they can harness volume, variety and velocity of data coming into organization and leverage actionable insight from that data. Personalized behavior: This allows telecom companies to offer personalized services or products at every step of the purchasing process. Businesses can tailor messages to appear on the right channels (e.g., mobile, web, call centre, in-store), in the right areas. Customer Behavior: Voice, SMS and Data usage patternsCustomer care historySocial Media activitiesPast purchase patterns Customer Demographics:Age, address and genderService usageChurn Prevention: Customer churn when subscribers jump from network to network in search of bargains is one of the biggest challenges confronting a telecom company. It is far more costly to acquire new customers than to cater to existing ones. Common causes of churn include high prices, poor service, poor connection quality, new competitors and outdated technology. To prevent churn, data scientists are employing both real-time and predictive analytics to:
Combine variables (e.g., calls made, minutes used, number of texts sent, average bill amount) to predict the likelihood of change.Target specific customer segments with personalized promotions based on historical behavior.React to retain customers as soon as change is noted.