Tech Threads

A Credible approach of Big Data processing and subsequent analysis on telecom data to minimize crime, combat terrorism, unsocial activities, etc.


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 consolidates 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 the smart mobiles, network infrastructures, optimized devices for cellular network etc. are rapidly declining. As an end result, there is an exponential adoption of smart mobile phone across the generation as well as rapid expansion of telecom/mobile network in both rural and urban areas. 4G broadband cellular network technology, succeeding 3G is acting 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.


Criminal police organizations, Security agencies, Anti-terrorist squad or other government agencies can leverage above mentioned telecom data to root out terrorist activities initiated in sensitive areas and nab, track suspected persons by detailing out the behaviors before and after crime by unsocial people etc. By managing a dashboard on the suspected mobile numbers, the security agencies can speed up the investigation process after telecom data processing. The dashboard can be populated with following critical information

Page: 1 2

Recent Posts

Is TOON the Next Lightweight Hero in Event Stream Processing with Apache Kafka?

 The data serialization format is a key factor when dealing with stream processing, as it… Read More

6 days ago

Using Schema Registry to Manage Real-Time Data Streams in AI Pipelines

In today's AI-powered systems, real-time data is essential rather than optional. Real-time data streaming has… Read More

1 month ago

AI on the Fly: Real-Time Data Streaming from Apache Kafka To Live Dashboards

In the current fast-paced digital age, many data sources generate an unending flow of information,… Read More

4 months ago

Real-Time at Sea: Harnessing Data Stream Processing to Power Smarter Maritime Logistics

According to the International Chamber of Shipping, the maritime industry has increased fourfold in the… Read More

4 months ago

Driving Streaming Intelligence On-Premises: Real-Time ML with Apache Kafka and Flink

Lately, companies, in their efforts to engage in real-time decision-making by exploiting big data, have… Read More

6 months ago

Dark Data Demystified: The Role of Apache Iceberg

Lurking in the shadows of every organization is a silent giant—dark data. Undiscovered log files,… Read More

6 months ago