o
Traditional Campaigns are based on customer profiles and demographics, but using Big Data
Analytics it is possible to provide
Real time contextual, targeted marketing offers which will increase acceptance rates
leading to more revenue
Knowing and provide tailor made solutions will Reduce Churn
Increase customer satisfaction and generate loyalty
Reducing time and cost of campaign generation
Network Analytics
o With Network Analytics the CSPs get measurements and real time metrics necessary to manage
their network, optimize network spend, and identify scopes of monetization
Identifying and resolving network bottlenecks in minutes
Planning for capacity escalation if and when required based on metrics to improve service
quality
Optimize investment in new networks to have maximum impact by luring in big spending
customers
Improving quality of service thereby decreasing churn
Location based services
o Customers demand best deals and service from CSPs based on their location, while protecting
their privacy
Using mobile profiles, digital behavior and tracking on the move lifestyles CSPs can create
targeted offers for its customers
Amalgamate Telecom service with Mobile payments, ticketing, traffic control
Using location data CSPs can also plan to expand their network in targeted areas as well
improve quality (higher price) in specific high spend regions
To summarize, Big Data Analytics is a must to understand and appreciate the telecom clientele. With customers
living second lives on the digital front, it makes sense to use that data to leverage ones business. Furthermore,
Big Data is here to stay in the Telecommunications Sector- Why not make the most of it?
Analytics Brio 7