Social n/w Analytics to enhance Marketing Outcomes in Telecom Sector
summary
Covers using social network analytics (SNA) and graph theory applied to telecom call data (call frequency, duration, connection types) plus demographic/firmographic features to identify communities and key influencers. Demonstrates a use case implemented with SAS SNA and NodeXL showing how targeting identified influencers can improve campaign adoption and retention and amplify marketing impact.
AI-written summary · about
related talks
41mDemystifying Social Network Analysis (SNA)
31mData Science for Financial Inclusion
43mAnalytics and AI Applied to Graph Databases - Introduction and Demo
04mHarriet Fryman interviewed at Web 2.0 Summit 2011
05mCameron Marlow at Social Graph Foo Camp, February 2008
35mFireside chat: Digital IQ and marketing big data
56mGraph Analytic Systems
06mNathan Eagle at Social Graph Foo Camp, February 2008