DATA | PREDICTION | INSIGHT.
The last two decades has witnessed the successive growth of telecom industry. The telecommunication industry has widespread to an extent that today at remote places also number of service providers and subscribers are available. Apart from the government, various MNC’s have also entered in this segment as service providers and therefore the competition has increased in multiple folds.
To sustain and grow in such competitive environment we assist our clients by using descriptive and predictive analysis to perform following task
As analyst we use descriptive models to analyse customer behaviour to learn their expectations, usage patterns and preferable time slots. This analysis helps to customize products, services, offers, and design targeted campaigning for customer acquisition.
All telecom service providers aim for customer retention which itself is a big challenge due to availability of large number of service providers in market. To beat this competition and retain customers we assist our clients by using data mining technique and predictive models to study customer demands. This helps to plan strategies to run loyalty programs, provide competitive services and pricing policies for customer satisfaction.
Personal information shared on social networking sites, online banking operations and confidential data available on online portals are always susceptible for fraudulent activities. The telecom operators always try to implement new techniques to control frauds.
We use analytical methods to detect and control fraudulent activities. This analysis is used to monitor communication traffic, customer usage pattern and network element behaviour to detect malicious activities. This helps to control roaming frauds, billing frauds, messaging level frauds, and many other frauds.
We use data mining and text analysis methods to interpret data and study customer demand, potential domain and competitor’s strategies. This analysis helps in decision making process of the following elements
