Data products are poised to go mainstream, but only if they are designed well. Most data products are designed by developers for developers. This talk discusses methods from Stanford’s D.School used by companies like Yahoo!, Samsung, and Audi to design break-out products. These principles can help developers get beyond technology and design products for everyday users.
2.18 2015 analytics API behavior behavioral analytics big data cohort analysis company complexity conversion customers customer satisfaction customers launch GA data data-driven data-informed data business user insights data culture ebook engagement Engineering event data event data raw events exploration funding mementum customers funnels interana logging meetup mircrosoft mission private product design UX query raw data release retention sampling SQL success time series tinder visualization