Improve networks and customer relations
Telecommunication markets are highly competitive and churn is a huge concern. The profit pressure this creates is compounded by the tremendous investment required to build and maintain networks. Add changing regulations and consumer usage patterns, and it’s no wonder new industry winners – and losers – are created seemingly every day. Data science can help telecommunications companies stay in the winner category, by better understanding customer behavior, minimizing customer turnover, optimizing networks, and preventing fraud.
Entice customers with additional services
Increase your average revenue per user (ARPU) by extending the right offer through the right channel at the right time. Deepen customer relationships as they adopt more services.
Hear your customers
Analyze customer service calls, emails, chat and even social media chatter. Spot customer dissatisfaction and negative brand impact and address proactively.
Save accounts before cancellation
Protect against the possibility of losing a customer to a competitor. Reach out to customers about to switch and prevent churn and revenue loss.
Stop fraud before it happens
Detect fraud of all types, from payments to unauthorized traffic and fees to SPAM and more. Secure your network and your customers against abuse and your business against revenue leakage.
Prevent device and equipment failure
Predict when consumer devices or network equipment are likely to fail or malfunction. Plan repairs and replacements in the most effective-way, increasing satisfaction and reliability.
Optimize network performance
Improve short-term traffic management and longer-term network capacity planning. Ensure customers get the service quality they expect.
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