Big Data Analytics – Telecom Sector
Dr. Rajarshi Singh
[email protected]
The market penetration of telecom products and services, and expansion of social networks over the last decade
has made Big Data a reality today - The three V’s; Volume, Variety, and Velocity of data continue to hit new
highs, wherein it is becoming more and more difficult to rely on traditional database management systems. We
are seeing smart organizations beginning to lean on flat file systems such as Hadoop. The story does not end
here, because the availability of large amounts of unstructured and/or semi-structured data begs the questionWhat are we going to do with it?
Here we’ll see an overview of how the telecom sector can utilize Big Data and Analytics techniques together to
answer this very question.
Thanks to telecommunication networks and proliferation of smart phones (and tablets) Communication Service
Providers (CSPs) can track their customers’ movements, preferences and behaviors, which will help CSPs achieve
three objectives
Delivering smarter services to their consumer base to generate greater revenue
Transform operations procedure and planning to provide service excellence
Build smarter networks to better customer experience
Achieving these milestones will in turn
Increase revenue
Reduce customer churn
Decrease operations cost
A few concrete examples of business cases where Big Data Analytics will have a major impact are
Pro active Call Centers
o Identifying and resolving service issues in moments
o Proactively managing customer experience and churn
o Maximizing revenue from existing customer base
o Lowering average call handling times and network operating cost
Smarter Campaigns
Analytics Brio 6