When using the distinct count function in SAS Visual Analytics reports, you might find that a negative value is displayed instead of the actual distinct count: imgalt="distinct_count" src="{fusion_66562_1_disti

When viewing a SAS Visual Analytics report, you might intermittently see an error that includes content similar to the following:

We live in the age of data. From global warming stats to customer behavior patterns, new technologies have made it easier to collect, store, access and analyze information. But our use of these technologies has also eroded our attention spans and fueled post-truth misunderstandings. To combat these trends, the question [...]

SAS Customer Intelligence 360: Visual analytics, sankey diagrams and customer journeys was published on Customer Intelligence Blog.

Selecting an appropriate model to forecast product demand is critical to the manufacturing industry. However, due to the data complexity, market uncertainty and users' demanding requirements for the model, it is challenging for demand analysts to select a proper model. Although existing model selection methods can reduce the manual burden to some extent, they often fail to present model performance details on individual products and reveal the potential risk of the selected model. This paper presents DFSeer, an interactive visualization system to conduct reliable model selection for demand forecasting based on the products with similar historical demand. It supports model comparison and selection with different levels of details. Besides, it shows the difference in model performance on similar products to reveal the risk of model selection and increase users' confidence in choosing a forecasting model. Two case studies and interviews with domain experts demonstrate the effectiveness and usability of DFSeer.

SAS Visual Analytics can be configured to send a notification to specific users when report objects contain data that meets certain criteria. This SAS note contains frequently asked questions about setting up alerts.

If your SAS Visual Analytics report contains many sections and objects, you might encounter performance problems when you are editing the report.   A hot fix is planned for this issue.

A custom sort might be sorted incorrectly when the data item is used in a custom category, which is then used in a hierarchy. The issue can occur in the following scenario:

When you attempt to save a report distribution in SAS Visual Analytics Designer, you might see the error shown in the following display:  imgalt="" src="{fusion_65868_1_distributionerror.png}" />

Common filters are filters that can be shared between objects in your reports. Common filter benefits include 1) Easy to assign the same filter conditions to other report objects, 2) When you edit a common filter, it is updated everywhere that the common filter is used, and 3) A common filter is available for the entire report, across pages.

Using common filters in SAS Visual Analytics was published on SAS Users.

With increasing interest in Continuous Integration/Continuous Delivery (CI/CD), many SAS Users want to know what can be done for Visual Analytics reports. In this article, I will explain how to use Python and SAS Viya REST APIs to extract a report from a SAS Viya environment and import it into another environment.

Continuous Integration/Continuous Delivery – Using Python and REST APIs for SAS Visual Analytics reports was published on SAS Users.

Common filters are filters that can be shared between objects in your reports. Common filter benefits include 1) Easy to assign the same filter conditions to other report objects, 2) When you edit a common filter, it is updated everywhere that the common filter is used, and 3) A common filter is available for the entire report, across pages.

Using common filters in SAS Visual Analytics was published on SAS Users.

With increasing interest in Continuous Integration/Continuous Delivery (CI/CD), many SAS Users want to know what can be done for Visual Analytics reports. In this article, I will explain how to use Python and SAS Viya REST APIs to extract a report from a SAS Viya environment and import it into another environment.

Continuous Integration/Continuous Delivery – Using Python and REST APIs for SAS Visual Analytics reports was published on SAS Users.

IEEE / Institute of Electrical and Electronics Engineers Incorporated

IEEE / Institute of Electrical and Electronics Engineers Incorporated