Skip to main content
TrustRadius
SAS Viya

SAS Viya
Formerly SAS Advanced Analytics

Overview

What is SAS Viya?

An end-to-end platform for AI, data science, and analytics, used for modeling, as well as management and deployment of AI models.

Read more
Recent Reviews

TrustRadius Insights

Users have found SAS to be a versatile tool for a wide range of use cases. One prominent use case is the construction and implementation …
Continue reading

SAS Analytics: Review

7 out of 10
February 05, 2015
Incentivized
SAS Analytics is being used by the marketing department in the organization. It is used for building a predictive model which eventually …
Continue reading
Read all reviews

Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Return to navigation

Pricing

View all pricing
N/A
Unavailable

What is SAS Viya?

An end-to-end platform for AI, data science, and analytics, used for modeling, as well as management and deployment of AI models.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Would you like us to let the vendor know that you want pricing?

15 people also want pricing

Alternatives Pricing

What is IBM SPSS Statistics?

SPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and…

What is MATLAB?

MatLab is a predictive analytics and computing platform based on a proprietary programming language. MatLab is used across industry and academia.

Return to navigation

Product Demos

Model Autotuning, Generative AI | SAS Viya March 2023 Release

YouTube
Return to navigation

Product Details

What is SAS Viya?

An end-to-end platform for AI, data science, and analytics, used for modeling, as well as management and deployment of AI models.

Automatically generated insights enable users to identify the most common variables across all models, the most important variables selected across models and assessment results for all models. Natural language generation capabilities are used to create project summaries written in plain language, to generate interpretable reports. Analytics team members can add project notes to the insights report to facilitate communication and collaboration among team members.

SAS Viya Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

An end-to-end platform for AI, data science, and analytics, used for modeling, as well as management and deployment of AI models.

Posit, IBM SPSS Statistics, and Anaconda are common alternatives for SAS Viya.

Reviewers rate Support Rating highest, with a score of 10.

The most common users of SAS Viya are from Enterprises (1,001+ employees).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(93)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Users have found SAS to be a versatile tool for a wide range of use cases. One prominent use case is the construction and implementation of multiple predictive models across various business units. Users appreciate the software's ability to quickly and easily construct models, regardless of dataset size. SAS Office Analytics is particularly useful for creating an intelligent reporting platform, allowing organizations to share important data with non-SAS users through automated processes.

Another key use case is the utilization of SAS Enterprise Guide, which serves as a point-and-click interface, providing power users with access to the full potential of SAS without requiring coding knowledge. This feature empowers users to explore and analyze data efficiently. Additionally, SAS Office Analytics enables users to access any datasource using the ODBC connection, ensuring easy retrieval of data from servers or databases.

SAS Advanced Analytics is highly valued for its capabilities in data mining, text analyses, support vector machines modeling, ensemble modeling, neural network modeling, and other advanced analytic processes. It proves particularly useful for new modeling projects during the development process. The software is also widely used in departments such as human capital and information management for predictive modeling, data manipulation, clustering, and optimization.

Users have compared SAS Advanced Analytics with other free software tools and found it impressive, especially in terms of visual display. They appreciate that SAS offers built-in models for statistical and events-based forecasting through its Forecasting Studio for Desktop. This allows organizations to analyze customer engagement data and forecast customer engagement patterns accurately.

Furthermore, SAS plays a crucial role in integrating data from across an organization into an end customer marketing and sales database. This facilitates reporting and analysis processes while supporting the needs of multiple departments, such as addressing data quality issues, conducting summary analytics, predictive modeling, and insurance rate setting.

In addition to these applications, users rely on SAS Analytics for various tasks like data visualization to create quick and highly responsive dashboards. Some even leverage SAS Advanced Analytics for analyzing complex survey data, such as the Behavioral Health Risk Factor Surveillance System and the Youth Risk Behavior Survey. The user-friendly nature of SAS, combined with its excellent online support, is highly appreciated by users as well.

The marketing department benefits greatly from SAS Analytics, utilizing it to build predictive models that increase the return on investment for marketing campaigns. Overall, the versatility and ease-of-use of SAS make it a valuable tool for businesses across a wide range of industries and departments.

User-Friendly Interface: Users have consistently praised the user interface of SAS Advanced Analytics, with many stating that it is one of the easiest they have used. This has made it convenient for professionals to self-learn and navigate through the software without much difficulty.

Accessible Web Interface: The web interface of SAS Advanced Analytics has been highly appreciated by reviewers for its accessibility. Users can access and use the software from any computer anywhere in the world, allowing them to produce analyses on-the-go.

Wide Range of Simulation Options: Reviewers have commended SAS Advanced Analytics for offering a wide range of options for simulations. Many users consider these simulation capabilities to be world-class, providing them with ample flexibility and versatility in their analytical work.

Some users have found the startup process of SAS Advanced Analytics to be slow and have suggested that it could be improved. They believe that a faster startup time would greatly enhance their user experience.

Several reviewers have expressed their dislike for the default color schemes in Advanced Analytics, finding them unappealing. They feel that more visually appealing and customizable color options would enhance the overall aesthetics of the software.

Users have mentioned that although the analytics steps in Advanced Analytics are generally simpler than other tools, they still feel that SAS could make the process of learning these steps even simpler. They suggest providing more intuitive tutorials or interactive guides to help new users navigate through the software more easily.

Users highly recommend giving SAS Advanced Analytics a chance and suggest taking a course or finding a user to guide you when using the software. They also emphasize the need for expanding the capacity to analyze huge datasets and providing more coding tutoring on the SAS website or YouTube. Furthermore, users suggest thoroughly reviewing tutorials, training, and information on the best ways to utilize SAS Advanced Analytics in order to maximize its potential. Additionally, they recommend considering SAS Advanced Analytics for companies with large datasets and complicated analyses, but also suggest considering other options.

Attribute Ratings

Reviews

(1-11 of 11)
Companies can't remove reviews or game the system. Here's why
Yoni Dvorkis | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We piloted SAS AA at my organization to see how well it compares with other free software tools such as RStudio and Anaconda. So far what we saw was very impressive especially with the visual display but was a little out of our price range. Nonetheless, we were very impressed with the tool overall and would recommend it to other companies particularly those with limited programming expertise.
Thomas Young | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
SAS Advanced Analytics is used only in certain departments that do advanced analytics. The program is used for data mining, text analyses, support vector machines modeling, ensemble modeling, neural network modeling, and various other processes. The program is part of an automation movement for processes that get repeated frequently, although most of the usefulness of the program is in the new modeling projects during the development process.
Rishi Bavishi, CSSGB, CAPM | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Currently, in our organization, SAS is used for highly statistical analysis of customer engagement data. We also use for forecasting the customer engagement pattern with SAS. In this capacity, we use a special tool called Forecasting Studio for Desktop as well which has built-in models available for statistical and events based forecasting.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
I currently use SAS Advanced Analytics to analyze data coming in from the state level Behavioral Health Risk Factor Surveillance System and the Youth Risk Behavior Survey. I focus on tobacco data and SAS is extremely important when looking at this data. I use SAS STAT to analyse the data using survey procedures. Because BRFSS and YRBS are complex surveys I must use the survey procedures in SAS to get weighted frequencies, means and estimates. It is extremely easy to use SAS for these analyses, because the procedures are pretty repetitive. However, I do wish that the strata, weight, and cluster variables did not have to be typed with each procedure done. When using STATA or SPSS these variables are entered once, and the weighted results are automatically given when writing procedure. No need to enter them in for each. However, I am more comfortable with SAS coding and really like that it is user friendly. The online support for SAS is wonderful as well.
Nathan Och | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
We utilize SAS first and foremost to construct and implement multiple predictive models across our business units. Not only does it allow for quick and easy model construction, but the time it takes to cleanse the data between large or small datasets is relatively similar so dataset size is not an issue. In addition, we are also in the early stages of using SAS and SAS Office Analytics to create an intelligent reporting platform via Microsoft Office products and the SAS Web Portal. This allows our organization to traffic important data and information to non-SAS users through automated processes. SAS also has impeccable format style making the final drafts look very nice and easy to understand. SAS Enterprise Guide is our point and click interface that allows power users to access the full potential of SAS without needing to know coding off hand, but can also choose to do so if need be. We can also access any datasource using the ODBC connection that comes with SAS Office Analytics so accessing the data from any server or database is not an issue at all.
Return to navigation