Sponsors: IBM
Host: Sarah Wallace, Analyst, Heavy Reading
Featured Speakers: Dr. Arvind Sathi, Global Communication Sector Lead Architect, Information Agenda
Date: Thursday, October 18, 2012
Time: 12:00 p.m. New York / 5:00 p.m. London
Overview:

Communications Service Providers all over the globe are seeing an unprecedented rise in volume, variety and velocity of information (“Big Data”) due to next-generation mobile network rollouts, increased use of smartphones and rise of social media. Service providers who can tackle the Big Data challenge will differentiate from competitors, gain market share and increase revenue and profits with innovative new services. Many communications service providers are launching Big Data initiatives to leverage Business Analytics and Optimization (BAO) to drive subscriber, revenue and profit growth while streamlining operations to take out costs and increase productivity.,

- Customer Profile Monetization - Serve up highly targeted sales offers in real time based on customer profile, micro-segment, location and search history across multiple communication channels (mobile smartphone, cable/satellite box, Web interactions on high-speed Internet and landline).
What's Big About Customer Profile Monetization: Dramatically increase revenue from promotions for advertising partners (businesses). (No. 1 priority for major Telcos all over the world!)

- Next Best Action - Analyze customer interaction (voice call and notes) during service call in real time and combine it with known information on the customer (profile, segment, billing, service requests) to cross-sell/up-sell services; make retention offers to prevent customer churn
What's Big About Next Best Action: Transform call center from cost center into revenue-generating profit center

- Revenue Assurance Mediation - Analyze entire Call Data Record (CDR) volume to detect, correct and prevent revenue leakages across the ecosystem, data inconsistencies and fraud.
What's Big About Revenue Assurance Mediation: Reduce revenue leakage due to unbilled or under-billed CDRs (estimated at 1 percent of revenue - TM Forum Survey, 2008); reduce lost revenue due to fraud (estimated at 2 to4 percent of revenue).

- Network Analytics - Analyze CDR data in real time as it flows off the network to detect critical network events (congestion, outage, etc.); Store and analyze years of CDRs, switch, billing and network event data to provide network quality of experience (QoE) analytics, traffic engineering, dropped session analytics, and voice and data session analytics
What's Big About Network Analytics: Identify and address network performance issues leading to customer churn; lower the cost of operating network and network analytics

The session will cover customer case studies and best practices in leveraging Big Data to reduce customer churn, drive more effective marketing campaigns, reduce revenue leakage and improve network performance.

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