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.
A good tool on advanced analytics
Why I like SAS
A Look At a New Way to Analyze Visual Data
SAS Visual Analytics review
SAS for Advanced Analytics
SAS Analytics: Review
SAS Analytics review
SAS Analytics - They are #1 for a reason.
Tried and true, but hard to justify the cost
The Very Tool to BIG DATA
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
Pricing
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
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Product Demos
Model Autotuning, Generative AI | SAS Viya March 2023 Release
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is SAS Viya?
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 Competitors
SAS Viya Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
Frequently Asked Questions
Comparisons
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Reviews and Ratings
(92)Community Insights
- Business Problems Solved
- Pros
- Cons
- Recommendations
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
- 4.5Likelihood to Renew5 ratings
- 10Availability1 rating
- 9Performance1 rating
- 6.1Usability2 ratings
- 10Support Rating3 ratings
- 8Online Training1 rating
- 9In-Person Training1 rating
- 9Implementation Rating1 rating
- 10Configurability1 rating
- 9Product Scalability1 rating
- 8Ease of integration1 rating
- 10Vendor pre-sale1 rating
- 10Vendor post-sale1 rating
Reviews
(1-1 of 1)SAS Analytics - They are #1 for a reason.
- Predictive Analytics
- Business Intelligence
- Report Automation
- Statistical Analysis
- Expanded point and click options under the data tab.
- Better resource information to help with circumstantial issues (i.e. graphing).
- Better scoring, better work sloping, better ROI for every dollar spent.
- Automation of information through Task Scheduler.
- Increased professionalism of final reports.
- Shorter time having to cleanse data.
- Predictive Analytics
- Statistical Analysis
- Reporting Automation
- Utilize SAS Web Portal to automate tasks once done by hand.
- The ability to send the information to the people that require it, rather than them seeking it out.
- Utilize its permanent libraries to create multiple stored processes accessible to non-users via the Web Portal.
- Allow clients to view their data via the Web Portal.
- Product Features
- Product Usability
- Prior Experience with the Product
- Vendor Reputation
- Implemented in-house
- Professional services company
- The only issues we saw were on our side, getting to know the new functionality and migrating projects.
- SAS products are fully integrated with each other so upgrading and adding new software is seemless.
- Online training
- Self-taught
- Any data analysis using SAS Enterprise Guide is very easy as it is a point and click interface.
- Basic Graphing is also very easy.
- If a user needs predictive analytics, SAS made model building a drag and drop system.
- Coding can be quite difficult if the end user has had no experience with it.
- Creating stored processes require ample knowledge of SAS.
- Windows 7 64-bit
- Windows 7 32-bit
- None
- File import/export
- SAS added a feature that allows you to select what dataset you want when coding.
- Honestly, I do not know.