Predictive analytics for the telecom industry

With massive amounts of data being generated in the telecom industry, an advanced analytics tool is critical to improve operational efficiency across the entire telecom value chain—from network operations to service offerings to product development, marketing, and sales. With predictive analytics, improve service, automate operations, reduce human intervention, understand share of wallet and customer spend, tap into new opportunities, and innovate ways to retain and delight customers.

Telecom analytics use cases

Solutions - Telco Dashboard - Churn Prediction

OPERATIONAL

PRODUCT

CUSTOMER

CALL CENTER

Telecom solutions at a glance

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TELECOM ANALYTICS CASE STUDY

Predicting Service Level Agreement (SLA) violations with over 85% accuracy before it even occurs

Client understands that SLA breaches happen all the time. But knowing when to escalate a ticket, before a breach took place, was critical to customer loyalty and success. With the Analance ML solution, client was able to proactively handle high risk tickets to avoid loss in business, revenue, and reputation.

Method

Method

Two months of data was trained and Analance predicted the outcome of tickets for the following two weeks.

Model

Model

A two-class adaptive boosting algorithm was used to improve classification accuracies by combining multiple weak classifiers for results service managers can rely on.

Outcome

Outcome

Analance was able to recognize patterns on the fly and re-train the model to flag tickets prone to breach the SLA, with over 85% accuracy.

Why enable predictive analytics?

Analance empowers organizations with data analytics for better storytelling and predictive insights that help scale business outcomes.