How Online Retailers Use Predictive Analytics To Improve Your Shopping Experience zite.to/12DQnG1
Video: Eight Answers About Predictive Analytics zite.to/ZjhrtP
Data Visualization & Predictive Analytics zite.to/YmqYOh
The B-Eye Network has a great post on the strategy to move your organization from reactive analytics to predictive analytics. Typically organizations start at one end of the spectrum with basic reporting and then some move to more predictive/real-time capabilities over time.
After IBM’s Watson won its recent Jeopardy challenge, a lot of discussion has been about what the powerful computer system will be used for next. Check out an interview.
Predictive analytics software vendor, KXEN, has announced two upcoming training sessions to be held in Chicago.
- May 13-14, 2009 Fundamental Training and KXEN Certification
- May 15, 2009 Scripting and Advanced Topics
By Melissa Campanelli
Virgin Mobile, Britain’s leading virtual network operator, has selected predictive analytics software from SPSS to drive marketing campaign optimization and reduce customer churn.
The software from Chicago-based SPSS enables Virgin Mobile to analyze its customer data and the results of previous direct marketing campaigns to identify appropriate customer segments for new marketing initiatives targeted at the mobile operator’s 4 million customers.
Virgin Mobile undertakes more than 100 marketing campaigns each year. By identifying the most appropriate customers for each of these, the mobile operator will be able to lower campaign costs, reduce customer churn and increase revenue per user from event-triggered marketing activities. For example, customers who add additional minutes by a certain amount and are likely to churn can be sent a text message reminding them of the benefits of Red, Virgin Mobile’s rewards scheme, at or close to the time they re-up their minutes, rather than within an ad hoc campaign.
SPSS’ predictive analytics software provides Virgin Mobile with a better understanding of its customers by combining information on past circumstances, present events and projected future actions. This gives the mobile operator a complete view of its customers and enables the company to adequately anticipate individual customer behavior and needs. For example, Virgin Mobile can predict the likelihood of a customer leaving and take measures to prevent this.