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The telecommunications industry is experiencing transformation at a staggering pace . Powered by an increasingly hyperconnected world , generating massive amounts of data , telecommunication companies are reinventing themselves as technology and digital service providers for the connected modern era . Today ’ s “ buy now ” economy has changed consumer expectations . Streaming video now accounts for two-thirds ( 63 %) of all mobile data traffic . A new breed of competitors has emerged . Massive amounts of structured and unstructured data are generated every day . And emerging technologies such as 5G and IoT have created opportunities never before imagined .

The convergence of these technology trends holds great promise for communication service providers ( CSPs ) looking to move beyond connectivity to drive true business value for consumers and enterprises . By harnessing and analyzing the data that they capture , CSPs can meet the needs of a changing industry with technology that enables smart cities , self-driving cars , connected homes , connected factories , and more .

The Role of Analytics in Telecommunications

Communication service providers are among the world ’ s biggest aggregators of consumer data and work under the most uncertain regulatory and market conditions . CSPs today generate and have access to vast amounts of valuable data including everything from detailed customer profiles , content preferences , and usage patterns to device , network , location , sensor , and application usage data .

Given the access to unprecedented volumes and varieties of data , analytics and machine learning play a key role in CSP digital transformation . Whether used to analyze churn , conduct targeted marketing , identify fraud , optimize networks , or launch compelling new revenue engines , data – and the intelligence from that data – have the potential to fundamentally redefine the telecommunications space . • www . intelligentcio . com INTELLIGENTCIO

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