The Business Forecasting Deal
Exposing bad practices and offering practical solutions in business forecasting![Accelerate open source forecasting with SAS (Part 3 of 3)](https://blogs.sas.com/content/forecasting/files/2020/11/Accelerate-Open-Source-Blog-Photo-702x336.jpg)
Here is the final installment of the 3-part series by guest bloggers Jessica Curtis and Andrea Moore. (If you missed them, here are Part 1 and Part 2). HOW SAS MAKES IT HAPPEN There are two main steps for integrating open source forecasting models into SAS Visual Forecasting, each with increasing
![Accelerate open source forecasting with SAS (part 2 of 3)](https://blogs.sas.com/content/forecasting/files/2020/11/Accelerate-Open-Source-Blog-Photo-702x336.jpg)
Here is the second installment of the 3-part series by guest bloggers Jessica Curtis and Andrea Moore. (If you missed it, here is Part 1.) THE VALUE SAS DELIVERS TO OPEN SOURCE First and foremost, SAS distributes the input data for forecasting. SAS knows how to split up data intelligently
![Accelerate open source forecasting with SAS (Part 1 of 3)](https://blogs.sas.com/content/forecasting/files/2020/11/Accelerate-Open-Source-Blog-Photo-702x336.jpg)
Welcome to the first of a 3-part series by guest bloggers Jessica Curtis and Andrea Moore: FORECASTING IS UBIQUITOUS Forecasting is core to many different business decisions across virtually every industry. Whether you’re a retailer planning a compelling assortment of SKUs or improving labor planning for distribution centers and stores, or a consumer product goods
![Accelerate open source forecasting with SAS (guest blogger series)](https://blogs.sas.com/content/forecasting/files/2020/11/Accelerate-Open-Source-Blog-Photo-702x336.jpg)
Tomorrow we begin a three-part series on how to accelerate open source forecasting with SAS, by guest bloggers (and my colleagues) Jessica Curtis and Andrea Moore. As the popularity of open source forecasting has expanded, so has the ability of SAS to take advantage of open source capabilities. Over the
![Usage of forecasting in organizations UFO Project](https://blogs.sas.com/content/forecasting/files/2020/09/UFO.jpg)
The practice of business forecasting falls well short of the potential exhibited in academic research and forecasting competitions. Chris Chatfield* noted this in a 1986 editorial in the International Journal of Forecasting, where he called on statisticians to find a better way of communicating the better use of existing methods
![Preview of Foresight (Fall 2020) UFO Project](https://blogs.sas.com/content/forecasting/files/2020/09/UFO.jpg)
After a day out shoveling snow from a freak early September storm, here is editor-in-chief Len Tashman's preview of the Fall 2020 issue of Foresight: The International Journal of Applied Forecasting. Preview of Foresight (Fall 2020) The Fall 2020 issue of Foresight—number 59 since inception in 2005—features the final installment of