Telecommunication

Telecom is a data rich industry with lot of customer data getting generated every second from member’s profile, subscribers, transactions and viewership.

Leveraging data, the relevant and contextual Marketing campaigns are launched and run for the micro groups - bringing in a personal touch for the customers.Such targeted campaign brings in better returns and create market differentiation for the communication service provider (CSP) by increasing ARPC and reducing customer churn.

On the operation side, the contact centres are able to expedite the call resolution by making use of predictive analysis to identify the issue before hand using customer usage. Further,thanks to BOTs and Virtual Assistants, regular queries on installation, billing issues, and other simple queries are answered without human help.

On network front, IOT based sensors & the video surveillance provide required intelligence to monitor equipments on real time basis and reduce outages & breakdowns. With the gathered insights, corrective action can be taken within networks to lowerdowntime and react quickly to the potential risk and failure issues.

Next, the commonly occurring fraudsin the telco industry such as fake identity, fake calls can be dealt proactivity and in real time by applying machine learning algorithms in the process. The response timeon such issue can be greatly reduced as trained model becomes better in understanding pattern and detecting / predicting network related anomalies