In Alteryx you can do predictive modelling for time series data and compare which model is more efficient. In Alteryx there are 2 time series models you can use ARIMA (Autoregressive integrated moving average) or the ETS model (Error, Trend, Seasonal). As there are 2 options we might want to see which model fits our data better. to do this we use the TS compare tool.

First we need to union our 2 models using both models O anchor. then we want to take the original data and connect this to the R anchor of the compare tool this is the data and now we want the models, here we input the union data models into the L anchor. we then want to add browse tools behind all outputs to see the outputs.

This gives us tables and graphs with the other browse tool even producing an interactive graph for you to compare which model is better.