Many organizations need to process large numbers of time series for analysis, decomposition, forecasting, monitoring, and data mining. The TSMODEL procedure, available in SAS® Visual Forecasting and SAS® Econometrics software, provides a resilient, distributed, and optimized generic time series analysis environment for cloud computing. PROC TSMODEL offers capabilities such as automatic forecast model generation, automatic variable and event selection, automatic model selection, and parameter optimization. It also provides advanced support for time series analysis (in the time domain or in the frequency domain), time series decomposition, time series modeling, signal analysis and anomaly detection (for IoT), and temporal data mining. In addition, PROC TSMODEL supports open-source integration with external languages Python and R.
This 22-minute video by Javier Delgado of SAS describes the scripting language that supports cloud-based open-source integration between SAS® software and external languages; examples that demonstrate this use case are provided.
Video highlights
01:22 – What is TSMODEL?
02:20 – SAS Visual Forecasting
07:25 – Automatic time series modeling package
08:16 – Packages included with SAS Visual Forecasting
13:37 – SAS Visual Forecasting example
21:42 – Adding Python/R code in Model Studio
Related Resources
Read Javier’s SASGF paper (proceedings)
SAS Visual Forecasting (product overview)
The TSMODEL procedure (documentation)
SAS Visual Forecasting vendor review (Gartner 2020)
