Model for Targeting Customers Based on Analytics in Telecom Domain

Big data has emerged as an important paradigm for analyzing and predicting customer’s behavior. Based on the customer’s behavior various campaigns are made to target them. This paper presents a model for telecom companies which will insist them in how to target customers based on analyses of their data collected. Proposed model gathers information from various customers through preconfigured devices and then it manages and provides required insights to telecom companies on basis of which they can target customers of particular segment. Its feedback model in which companies can change their campaign strategy according to the response they receive in real time.