Big Data & Telecom
5.84 Million MNP requests made in January 2019: 09 month high.
119 crore subscribers in Sep 2018, competition is intense, fittest will survive.
Telecom Interconnection Charges to end by 2020, most calling to shift on Data.
A study by McKinsey, Telcos: The Untapped Promise of Big Data, based on a survey of leaders from 273 telecom organizations, found that most companies had not yet seriously leveraged the data at their disposal to increase profits. And only 30 percent say they have already made investments in big data. Having said this, the telecom industry is poised to undergo a major transformation through deployment of ‘Advance Analytics’ and ‘Big Data’ technologies.
Telecom industry is one of the industries that has captured and transported volumes of information since it came about. Customer calling patterns, wireless data usage, location data, network bandwidth statistics, applications and web pages accessed are few to name. Big Data technologies has the capability to uncover the significant new insights about their infrastructure and customers.
While growth of telecom industry over last few years has been stagnant due to declining revenues from voice-based services, however the growth in technology & innovation has be commendable.4G, 5G and IoT are new buzz words on the block. 5.6 billion subscribers are expected to be on the network. Is Telecom ready to handle such load?
“We have tremendous amount of data that is generated every single second in a network,” said Dr. Volkmar Scharf Katz, Ex - Vodafone US inc, currently with Argyle Data. Argyle Data is working on former’s fraud analytics. He further said that the amount of data being generated is beyond human ability of comprehension. Fraud can impact a company’s brand and revenue. Adding to this , the fraudsters are getting more sophisticated as the days go by.
Dr. Ian Howells, CMO, Argle Data adds, “We are able to detect fraud that was not previously detectable and we are doing it in three to four minutes; what used to take 24 hours by looking at the problem as Facebook or Google would”.