Following on from that IDC report, and from looking at the agenda for the forthcoming Predictive Analytics World event, I’m wondering how “event based analytics” fits alongside the really-clever-PhD-stuff. For example, the Citi banking CEP use case mentioned previously gets its value by trying to model what customers are doing based on analysis of events - customer situation awareness, if you like. One suspects this information should be an important and accuracy-enhancing  input to the analytic models the S+/SAS/SPSS etc guys are doing for (what seems mostly to be) customer management.

In other words: “know thy customer through all possible means”, with customer monitoring and modeling helping drive predictive analytics…