by Ray Bradford and Andreas Weigend. Ray Bradford, currently a student at Stanford University’s Graduate School of Business, is taking Data Mining and E-Business (Stats 252)
You’re working on that big project when momentum stalls at 9:06 PM and you find yourself on Facebook staring at the news feed. You are confronted by a stream of updates from that melodramatic train wreck of a former high school classmate, whose friend request you accepted out of guilt last week. You couldn’t care less Read the rest of this entry »
This keynote, given on February 19, 2009 at Predictive Analytics World shows how predictive models can benefit from the Social Data Revolution [pptx | mp3]
Abstract:Technology affords companies unprecedented opportunities to interact with customers and employees. In any of these interactions, data is created. Yet most firms neither capture nor fully utilize those data to impact their bottom line and strengthen relationships with their customers. Product recommendations and behavioral targeting are early examples of leveraging new sources of data to predict customer behavior and preferences. The next iteration of these interactions, for example mobile phones, empowers owners to access richer data and discover new opportunities – with the possible inclusion of location data that enables companies to predict mobility patterns for marketing and planning purposes. Learn from the former Chief Scientist of Amazon.com how to create a comprehensive data strategy through:
Join me at SXSW, where I will be having a session to explore the next generation of metrics for engagement together with the audience.
Data is a hot business. The recent acquisitions of NAVTEQ and Tele Atlas highlight that fact. “Data? is typically produced by specialized groups of people, producing data that is used for specific and explicit purposes. Web 2.0 has also brought about 2 major trends here - the first is the concept of peer production, where groups of seemingly unrelated people conscientiously come together to collaborate on producing specific data, with Wikipedia being the prime example.