TDWI World Conference Las Vegas, NV February 12-17, 2012

Prerequisite: None

Stephen Brobst

Social networking via applications such as LinkedIn, Facebook, and Google+ has created huge interest in understanding the connections between individuals to predict patterns of churn, influencers related to early adoption of new products and services, and customer segmentation. Identification of strong and weak ties in a social network has many applications—but can be computationally intense to calculate for large populations. This workshop will illustrate techniques for successful implementation of social network analysis using practical algorithms and parallel database technologies to overcome scale problems inherent in performing implementation at large scale (millions of customers/prospects). Practical case studies for extracting value from social network analysis will also be discussed. Social networking analysis using transactional data as well as social media will be covered.

You Will Learn

• How to extract value from social network analysis
• The differences and relationships between social network analysis and social media analysis
• The use of traditional data such as call detail records and financial transactions to construct social networks
• Social network metrics: how to calculate them and how to use them for analysis
• The use of social media to derive sentiment scores and understand impact using social network analysis
• Social media monitoring using analytics and visualization tools

Geared To

• Data warehouse architects; data warehouse designers; data warehouse developers