Now Shipping: SAS Forecast Server 12.3 with new Time Series Studio GUI


SAS Forecast Server (release 12.3) is now shipping, and includes the new SAS Time Series Studio GUI.

Time Series Studio (TSS), was released as "experimental" last August in 12.1, and is now in production. TSS provides an additional interface in Forecast Server, for time series data mining, exploration, and data preparation.

My colleague Udo Sglavo recorded a two part demonstration of TSS available on YouTube (Part 1, Part 2). Udo and Meredith John recorded a lengthier (47 minute) presentation "SAS Time Series Studio: Understanding Time Series" at Analytics 2012, also available on YouTube.

In addition, see Udo's blog post "Segmenting Time Series for Improved Forecasts," where he argues that decisions about how to structure and segment your time series data are as important as the forecasting methods themselves in creating the best possible forecast.

For more coverage of the linkages between data mining, time series exploration, and forecasting, see the book Applied Data Mining for Forecasting using SAS co-authored by my colleague Chip Wells with Tim Rey and Arthur Kordon of Dow Chemical. The book illustrates approaches for mining large time series data sets, how to select useful candidate input variables, how to identify the correlation structure between candidate inputs and the forecast variable, and a host of other data collection, data preparation, and forecast modeling topics. For SAS users, code examples are provided on the web.


e-book "What's New in SAS 9.4"

SAS Forecast Server 12.3 is just one element of SAS 9.4, released this week. There are also updated versions of the traditional SAS analytics "tools" (SAS/STAT, SAS/OR, SAS/IML, SAS/ETS, SAS/QC) and a new suite of high-performance enabled offerings for even faster performance on bigger datasets, to let you solve more complex problems.

Read about all that SAS 9.4 has to offer in the free e-book, "What's New in SAS 9.4".



About Author

Mike Gilliland

Product Marketing Manager

Michael Gilliland is a longtime business forecasting practitioner and currently Product Marketing Manager for SAS Forecasting. He is on the Board of Directors of the International Institute of Forecasters, and is Associate Editor of their practitioner journal Foresight: The International Journal of Applied Forecasting. Mike is author of The Business Forecasting Deal (Wiley, 2010) and editor of the free e-book Forecasting with SAS: Special Collection (SAS Press, 2020). He is principal editor of Business Forecasting: Practical Problems and Solutions (Wiley, 2015) and Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning (Wiley, 2021). In 2017 Mike receive the Institute of Business Forecasting's Lifetime Achievement Award. In 2021 his paper "FVA: A Reality Check on Forecasting Practices" was inducted into the Foresight Hall of Fame. Mike initiated The Business Forecasting Deal blog in 2009 to help expose the seamy underbelly of forecasting practice, and to provide practical solutions to its most vexing problems.

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