Social Network Analysis for Business Applications
Durchgeführt von Carlos Andre Reis Pinheiro, PhD, Lecturer at FGV and Visiting Professor at KU Leuven
Go beyond the traditional clustering and predictive models to identify patterns in your business data. Social network analysis describes customers' behavior, but not in terms of their individual attributes. Rather than basing models on static individual profiles, social network analysis depicts behavior in terms of how individuals relate to each other. In practical terms this approach highlights connections between individuals and how important they might be in viral effect throughout communities. For business purposes social network analysis can be employed to avoid churn, diffuse products and services, detect fraud and abuse, among many other applications. This course shows you how to analyze your customers, focusing on their relationships within the network, and, therefore, how to exploit their roles in the communities identified to improve business performance.Lernen Sie, wie Sie / Learn how to
Zielgruppe / Who should attendBusiness analysts, data analysts, data scientists, quantitative analysts, data miners, marketing analysts, risk and fraud analysts, analytical model developers, and marketing modelers in all industries, including but not limited to communications and entertainment, banking and finance, insurance and retailers
Before attending this course, you should have at least a beginner background in statistics and mathematics. You should also be minimally familiar with SAS programming.
In diesem Kurs wird mit folgenden Software Modulen gearbeitet: SAS/STAT, SAS Social Network Analysis Server Software
Fundamental Concepts in Network Analysis