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The call drop menace, which has become a headache for the consumers of late, could be fixed to some extent with the help of big data and analytics.
During a session on big data and analytics at the Convergence India expo 2016, panelists were of the opinion that there are multiple reasons for a call drop such as lack of towers, right devices, among others, but with the help of big data and analytics, the root cause of the problem could be nailed and fixed.
Madhumita Ghosh, Practice Leader, Big Data Advanced Analytics and Strategy Global Business Services, IBM, said: “Analytics will tell us the root cause whether it’s your handset or the towers or any particular app to be blamed for a call drop. It would also tell you that during a call drop which service provider is responsible for it whether the network making the call or receiving the call.”
For this, a lot of algorithms should be developed through machine generated data and then it could be understood that why the call was dropped. Call drops also lead to revenue leakage because minutes of usage is directly correlated with the telcos’ ARPUs directly and once the problem is detected, it could be fixed.
If there is a call drop because of the towers, then the call could be routed through some other networks, opined Bhaskar Dey, Associate VicePresident, Blueocean Market Intelligence Data.
Currently, leading telcos such as Bharti Airtel, Vodafone and Idea Cellular are weighing the option of big data and analytics for solving the call drops problem, one of the panellists said.
Last year, the Telecom Regulatory Authority of India (TRAI) had issued an amendment in Telecom Consumers Protection Regulations on October 16, 2015, which said that telecom operators were mandated to compensate their subscribers for call drops. It mandated the telcos to telecom operators to pay Re 1 compensation for each call dropped, with a compensation cap of Rs 3 per day.
Following which, the telcos had approached the Delhi High Court against this regulation.