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What is SAS Visual Data Science?

Effectively uncover emerging trends and patterns by accessing, analyzing, and manipulating data. SAS Visual Data Science offers a comprehensive self-service platform that facilitates the creation and sharing of insightful visualizations along with interactive reports. By utilizing machine learning, text analytics, and econometric methods, users can improve forecasting and optimization abilities while managing both SAS and open-source models, whether within projects or as standalone entities. This tool is essential for visualizing relationships within data, enabling users to generate and share interactive reports and dashboards, and leveraging self-service analytics to swiftly assess potential outcomes for more informed, data-driven choices. Engage in data exploration and build or modify predictive analytical models using this integrated solution with SAS® Viya®. Promoting collaboration among data scientists, statisticians, and analysts allows teams to continuously refine models designed for specific segments or groups, resulting in decisions grounded in accurate insights. This collaborative framework not only boosts model precision but also significantly speeds up the overall decision-making process, ultimately driving better business outcomes. Additionally, the ability to quickly iterate on models fosters an environment of innovation and adaptability, ensuring that strategies remain relevant in a rapidly changing landscape.

What is SAS Enterprise Guide?

SAS Enterprise Guide offers a convenient method for users to tap into SAS's analytical power through a straightforward point-and-click interface tailored for Windows. This application empowers users to perform analyses independently, combining an extensive array of analytical choices with the robust functionalities of SAS software, all presented within an easy-to-navigate graphical interface. As a result, business analysts are able to derive their own insights and produce reports, which allows IT departments to focus on more critical strategic tasks. Moreover, SAS Enterprise Guide integrates effortlessly with SAS Viya, permitting teams to maintain their current workflows while running SAS programs in the cloud without any need for recoding. This integration capitalizes on the benefits of a modern, cloud-based setup, which provides improved efficiency, scalability, and superior analytical capabilities. Additionally, the software aids users in swiftly accessing data for their analyses, scheduling projects, collaborating on outcomes, and embedding results for repeated use. This includes the application of advanced analytics and a variety of other features offered by SAS, creating a comprehensive toolset for users. Furthermore, this amalgamation of functionalities not only boosts productivity but also encourages a collaborative environment for data analysis within organizations, promoting a culture of shared knowledge and insight generation.

Media

Media

Integrations Supported

SAS Viya
JMP Statistical Software
Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft PowerPoint
Microsoft Word
SAS Visual Statistics

Integrations Supported

SAS Viya

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

SAS

Company Location

United States

Company Website

support.sas.com/en/software/visual-data-science.html

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/enterprise-guide.html

Categories and Features

Data Science

Not specified

Data Visualization

Not specified

Text Analytics

Not specified

Categories and Features

Data Analysis

Not specified

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