Telecom providers have a treasure trove of captive data — customer data, CDR (call detail records), call center interactions, tower logs, etc. and are metaphorically “sitting on a gold mine.” Ideally, each category of the generated data has the following information:

• Customer data consolidate customer id, plan details, demographic, subscribed services, and spending patterns

• Service data category consolidates types of customer, customer history, complain category, query resolved, etc. are on

• Usually for the smart mobile phone subscriber, location category data consolidates GPS-based data, roaming data, current location, frequently visited location, etc.

Due to technological evaluation in all the verticals, manufacturing cost for smart mobiles, network infrastructures, optimized devices for cellular network, etc. is rapidly declining. As an end result, there is an exponential adoption of the smart mobile phone across the generation as well as the rapid expansion of telecom/mobile network in both rural and urban areas. 4G broadband cellular network technology, succeeding 3G is acting as a catalyst to attract people towards using smart mobile phones because it provides mobile web access, IP telephony, gaming services, high-definition mobile TV, video conferencing, etc.

#big data #hadoop #hdfs #big data processing #gps data #telecom data