Big Data brings an interesting set of technologies like Hadoop, Sentiment Analytics, Predictive Analytics. Big Data also brought a new generation of solutions. The only challenge as I have mentioned before is that technology & business need to sit together to analyze and identify the 'right' use cases before investing in Big Data.
I have implemented Complex integration solution for telcom companies and realized that telco is a world by itself. An outsider will never realize the complex working of a telco and the huge volume of data that they generate! Telcom companies have always been in forefront of adopting latest technology innovations and rightly so. The ever growing customer base & network of Telco world generates humongous amount of data. Telcos requires their software to crunch data faster, filter out the noise & process faster. Big Data makes way for Distributed Data Processing hubs for various Telco use cases. I am listing a few use cases that I have discussed with some of the top think tanks and innovators of Telcos.
One of the biggest challenge faced by telecom companies is fraud. Telecom companies loose more money to fraud then one can imagine. The fraudster use innovative technology to commit fraud so to detect and prevent fraud we need to use Predictive Analysis coupled with Big Data Processing on the large data generated by each phone, each switch, each tower, every second.
1.Telecom fraud is estimated at $40 B globally and it is the single biggest cause of revenue loss for operators, costing them between 3% and 5% of their annual revenue. With rising competition & extremely low average revenue per user (ARPU), detecting fraud and plugging revenue leaks have become extremely important to reduce costs.
2.One study reports that the internal fraud (40.3%), roaming fraud (11.4%), pre-paid (10.8%), subscription (11.6%) and premium (13.1%) are the most important in terms of losses by values.
3.Fraud connected to prepaid accounts is much easier to commit and harder to combat, since there is very little information on the subscriber, unlike postpaid accounts, where a credit check is usually done. Entry-level fraudulent activities such as subscription and impersonation are very serious since the cost is coming straight from the bottom line in the form of commissions and incentives.
4.The fraud management becomes more and more important as the new methods of access become available such as Cable networks, Wireless networks, DSL, Satellite, Metropolitan Optical Networks running Ethernet, Broadband Wireless Systems (radio, microwave, or infrared).
5.Although there is an abundance of data generated by mobile devices and systems a large amount of data is not processed in real time.
6.Telco would like to detect critical events and patterns across all its data sources in real time, perform advanced in-memory analysis in real time and take preventive or corrective action in real time to providing better service to its customer and reducing the financial looses
I have implemented Complex integration solution for telcom companies and realized that telco is a world by itself. An outsider will never realize the complex working of a telco and the huge volume of data that they generate! Telcom companies have always been in forefront of adopting latest technology innovations and rightly so. The ever growing customer base & network of Telco world generates humongous amount of data. Telcos requires their software to crunch data faster, filter out the noise & process faster. Big Data makes way for Distributed Data Processing hubs for various Telco use cases. I am listing a few use cases that I have discussed with some of the top think tanks and innovators of Telcos.
Telecommunication Companies, Fraud Prevention & Big Data
One of the biggest challenge faced by telecom companies is fraud. Telecom companies loose more money to fraud then one can imagine. The fraudster use innovative technology to commit fraud so to detect and prevent fraud we need to use Predictive Analysis coupled with Big Data Processing on the large data generated by each phone, each switch, each tower, every second.
Take a quick look at some facts -
1.Telecom fraud is estimated at $40 B globally and it is the single biggest cause of revenue loss for operators, costing them between 3% and 5% of their annual revenue. With rising competition & extremely low average revenue per user (ARPU), detecting fraud and plugging revenue leaks have become extremely important to reduce costs.
2.One study reports that the internal fraud (40.3%), roaming fraud (11.4%), pre-paid (10.8%), subscription (11.6%) and premium (13.1%) are the most important in terms of losses by values.
3.Fraud connected to prepaid accounts is much easier to commit and harder to combat, since there is very little information on the subscriber, unlike postpaid accounts, where a credit check is usually done. Entry-level fraudulent activities such as subscription and impersonation are very serious since the cost is coming straight from the bottom line in the form of commissions and incentives.
4.The fraud management becomes more and more important as the new methods of access become available such as Cable networks, Wireless networks, DSL, Satellite, Metropolitan Optical Networks running Ethernet, Broadband Wireless Systems (radio, microwave, or infrared).
5.Although there is an abundance of data generated by mobile devices and systems a large amount of data is not processed in real time.
6.Telco would like to detect critical events and patterns across all its data sources in real time, perform advanced in-memory analysis in real time and take preventive or corrective action in real time to providing better service to its customer and reducing the financial looses
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