Here’s to a new year filled with innovation and new features! To start, you can now edit tables directly in viewing mode in SAS Visual Analytics. Plus, SAS Studio has two new steps, and there’s seamless integration with workflows in SAS Intelligent Decisioning for even greater efficiency.
Product: SAS Visual Analytics
New feature: Editing tables in viewing mode
Description: In a previous edition, we discussed the ability to edit CAS tables in SAS Visual Analytics. Now, this functionality is not limited to the editing mode; you can also make changes in the viewing mode. Learn more.
Product: SAS Studio
New feature: New steps
Description: In this release, two new steps have been added to SAS Studio: Gradient Boosting and Confidence Intervals Statistical Power. Learn more.
Product: SAS Intelligent Decisioning
New feature: Easy integration with workflows
Description: Connecting a SAS workflow to a decision in SAS Intelligent Decisioning is now easier than ever, and a new example workflow has been added. Learn more.
SAS Studio
The Gradient Boosting step generates a powerful ensemble of decision trees designed to handle both interval and nominal targets, harnessing the proven Gradient Boosting technique. By methodically refining each iteration, it zeroes in on patterns that simpler models might miss, resulting in more accurate predictions. This approach enables you to drive greater value from your data, powering better insights and improved decision-making.
Brought to you by David Weik
Did you know that there are application-level settings in SAS Visual Analytics that can improve your daily workflow?
To access this, simply click on your user profile and go to Settings. From there, under SAS Visual Analytics, you’ll have the option to adjust a variety of default settings.
Here are two of my favorites:
1. Under Report Defaults, I prefer to set the graph’s default title from “automatic title” to “custom title.” (See No. 2 and No. 3 in the image below.)
2. Under Modeling, there is a checkbox to automatically convert measure variables with two levels to a category, which is a huge timesaver for me. (See No. 4 and No. 5 in the image below.)
Calling all data scientists and open-source enthusiasts! Want to solve real problems that impact your company or the world? Register to hack by August 31st!