Digital analytics data is almost exclusively data that exists over time. That is such an obvious fact that it's easy to blow right past some important considerations and techniques that are unique or (or, at least, present in) time-series data. Stationarity (and, often, the lack thereof) and seasonality (annual...and intra-week!) alone are important and intriguing considerations when it comes to time-series data. In this session, Tim will do a high-level review of some key concepts and some of his favorite techniques for responsibly working with time-series data.