Step-1:

Extract CDR information and summarize it for each unique combination of caller and called number

Step-2:

For each caller and called number, count the frequency of calls made, the number of smses sent, the number of prime time calls etc

Step-3:

Use this model to develop call behavorial profiles to target . Example : Friends and families program

Step-4 :

Interrogate the social network database for specific behavior . For example : Who are my existing customers who make more than 20 % of calls to competitive networks during peak time and either the call duration for day exceeds 90 minutes or number of calls per day exceeds 12 ?

Can we target them with a ‘friends and families’ scheme to bring their most frequent called numbers into our network fold and incentivise them in the process

This is just the tip of the iceberg in terms of leveraging Big Data Network link analysis or graph analysis to impact ARPU ( Average revenue per user ) in the telecom industry

more at http://blog.fluturasolutions.com/2012/04/telecom-4-steps-to-build-n...