Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
SAS Enterprise Guide provides users with a streamlined way to harness the analytical capabilities of SAS via a user-friendly point-and-click interface designed for Windows. This tool enables users to independently conduct analyses by merging a vast selection of analytical options with SAS software's robust features, all within an intuitive graphical interface. Consequently, business analysts can generate their own insights and disseminate reports, allowing IT departments to concentrate on more strategic initiatives. Furthermore, SAS Enterprise Guide seamlessly integrates with SAS Viya, enabling teams to utilize their existing workflows while executing SAS programs in the cloud without the need for recoding, thus leveraging the advantages of a modern, cloud-based environment that offers increased efficiency, scalability, and enhanced analytical capabilities. Additionally, it assists users in quickly accessing data for their analyses, scheduling projects, sharing outcomes, and embedding outputs for recurring use, which includes leveraging advanced analytics and various other functionalities provided by SAS. This combination of features not only enhances productivity but also fosters a more collaborative approach to data analysis within organizations.
Description
Incorporate analytics into immediate interactions and event-driven functionalities. The SAS Visual Data Science Decisioning suite offers strong capabilities in data management, visualization, advanced analytics, and model oversight. It enhances decision-making by crafting, integrating, and governing analytically driven decision processes at scale, whether in real-time or through batch processing. Additionally, it facilitates analytics deployment in the data stream to uncover valuable insights. Tackle intricate analytical challenges with an intuitive visual interface that manages all stages of the analytics life cycle efficiently. Running on SAS® Viya®, SAS Visual Data Mining and Machine Learning merges data manipulation, exploration, feature development, and cutting-edge statistical, data mining, and machine learning methodologies within a single, scalable in-memory processing framework. Users can access data files, libraries, and existing scripts, or create new ones, via this web-based application that is conveniently accessible through any browser, thus enhancing flexibility and collaboration.
API Access
Has API
No
API Access
Has API
Yes
Integrations
SAS Viya
Yes
Microsoft 365
No
Microsoft Excel
No
Microsoft Outlook
No
Microsoft PowerPoint
No
Microsoft Word
No
SAS Visual Statistics
No
Integrations
SAS Viya
Yes
Microsoft 365
Yes
Microsoft Excel
Yes
Microsoft Outlook
Yes
Microsoft PowerPoint
Yes
Microsoft Word
Yes
SAS Visual Statistics
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
SAS
Founded
1976
Country
United States
Website
www.sas.com/en_us/software/enterprise-guide.html
Vendor Details
Company Name
SAS
Country
United States
Website
support.sas.com/en/software/visual-data-science-decisioning.html
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No