Yogi Berra famously said, “It’s tough to make predictions, especially about the future.” Clearly, Yogi didn’t use JMP. In this presentation, Jian Cao shows you the new time series forecasting platform introduced in JMP 15. Simple to use, easy to set up and fast, JMP can fit up to 30 models and select the best one for forecasting, using two types of error, five types of trend and three seasonality types. After introducing state space smoothing models to make forecasting easier, Jian uses sample data and JMP Pro to demonstrate the concepts he shares in his talk. At the conclusion of his talk, Jian shows the forecasting that is available in Graph Builder as well.