Social networking via Web 2.0 applications such as LinkedIn and Facebook 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, successful pricing strategies for certain kinds of services, and customer segmentation. We will explain how to use these advanced analytic techniques with mini case studies across a wide range of industries including telecommunications, financial services, health care, retailing, and government agencies. Identification of strong, medium, 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 deployment 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 in the areas of fraud detection, churn reduction, viral marketing, and others will be discussed. Social networking analysis using transactional data as well as social media analytics for sentiment analysis will be covered. In addition to traditional social network analysis, we will discuss use of bi-partite graphs for advanced product recommendations and fraud analytics.

Additional Information

Audience Business, Expert. This workshop is geared toward data scientists and aspiring data scientists, BI analysts, solution architects, and persons desiring to understand value creation from social network and social media data.
Objective
  • Learn about different techniques for social network analysis:  relational, transactional, and new media.
  • Learn the critical success factors for successful implementation of social network analysis.
  • Learn about how to apply social networking analysis for purposes of customer retention, fraud detection, and more.
Format Workshop
Duration 3 hours – 1 day
Trainer Stephen Brobst
Delivery Method In-person at AlphaZetta Academy locations or on-premise for corporate groups

Meals and refreshments

Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.

Feedback

Use academy@alphazetta.ai to email us any questions about the course, including requests for more detail, or for specific content you would like to see covered, or queries regarding prerequisites and suitability.
If you would like to attend but for any reason cannot, please also let us know.

Variation

Course material may vary from advertised due to demands and learning pace of attendees. Additional material may be presented, along with or in place of advertised.

Cancellations and refunds

You can get a full refund if you cancel 14 days or more before the course starts. No refunds will be issued for cancellations made less than 14 days before the course starts.

Frequently asked questions (FAQ)

Do I need to bring my own computer?
There’s no need to bring your own laptop or PC. Our courses take place in modern, professional training facilities that have all the computing equipment you’ll need.

Private and Corporate Training

In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.

Enquire Now

Scheduled Public Courses – BOOK NOW!

Private and Corporate Training

In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.

Enquire Now

Other Marketing Workshops & Courses