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SAS Visual Analytics to quickly identify predictive drivers and interactively discover outliers across multiple variables.
Category
Data Analytics Platform
Features
• Visual data exploration and discovery • Descriptive modeling • Predictive modeling • Open, code-based model development • Dynamic group-by processing • Model comparison and assessment • Model scoring • Distributed, in-memory analytical processing • Flexible deployment options
License
Proprietary
Price
Contact for Pricing
Pricing
Subscription
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
Company
SAS
URL
https://www.sas.com
What is best?
• Visual data exploration and discovery • Descriptive modeling • Predictive modeling • Open, code-based model development • Dynamic group-by processing • Model comparison and assessment • Model scoring
What are the benefits?
• Most appropriate analytical modeling • Easily build and refine models • Empower multiple users to interact • Flexible deployment options • Code-based model development
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
8.3
Features & Functionality
7.8
8.1
Advanced Features
7.8
8.5
Integration
7.7
8.6
Performance
7.7
7.6
Customer Support
7.6
8.6
Implementation
8.4
Renew & Recommend
6.4
Bottom Line
Visually explore and evaluate segments for further analysis using k-means clustering, scatter plots and detailed summary statistics
7.7
Editor Rating
8.1
Aggregated User Rating
2 ratings
You have rated this
SAS Visual Analytics to quickly identify predictive drivers and interactively discover outliers across multiple variables. Then create powerful descriptive and predictive models with a simple drag-and-drop interface.
Visually explore and evaluate segments for further analysis using k-means clustering, scatter plots and detailed summary statistics. Build predictive models using a variety of techniques – linear regression, generalized linear modeling, logistic regression, classification trees.
Design and distribute BI reports and dashboards. Explore relevant data through interactive data discovery. And provide easy-to-use, self-service analytics to more users.
A great and very useful capability of SAS Visual Statistics is SAS Viya in-memory capabilities, which allows to perform processing in memory and distribute processing across nodes in a cluster. This process held in memory workload as long as required, across jobs and user boundaries, reducing latency.
Company size
Medium (50 to 1000)
User Role
Super User
User Industry
Financial services
Rating
Ease of use8.3
Features & Functionality8.1
It offers a variety of data explorations via visual analysis, such as linear regression, predictive outputs and segmentation, offers modelling visualisation tasks, allows drawing bar charts, histograms, box plots, heat maps, bubble plots, geographic maps and more, detect outliers or filter observations.
Advanced Features8.5
Integration8.6
SAS Visual Statistics also offers integration with a variety of others external software like Python, R, Lua, Java, Pandas, matplotlib, Plotly, Bokeh, and others. Both analytical and descriptive techniques are enhanced with SAS® Visual Statistics, but also group processing, models comparisons, assessments and scoring.
Performance7.6
Training 8.4
Customer Support8.6
Implementation8.4
Renew & Recommend7.8
ADDITIONAL INFORMATION SAS Visual Statistics is a powerful software that allows data visualization in order to improve findings from data scientists and statisticians and enhance your previsions and data analytical skills in your business.
Integration with external software
A great and very useful capability of SAS Visual Statistics is SAS Viya in-memory capabilities, which allows to perform processing in memory and distribute processing across nodes in a cluster. This process held in memory workload as long as required, across jobs and user boundaries, reducing latency.
Medium (50 to 1000)
Super User
Financial services
It offers a variety of data explorations via visual analysis, such as linear regression, predictive outputs and segmentation, offers modelling visualisation tasks, allows drawing bar charts, histograms, box plots, heat maps, bubble plots, geographic maps and more, detect outliers or filter observations.
SAS Visual Statistics also offers integration with a variety of others external software like Python, R, Lua, Java, Pandas, matplotlib, Plotly, Bokeh, and others. Both analytical and descriptive techniques are enhanced with SAS® Visual Statistics, but also group processing, models comparisons, assessments and scoring.
ADDITIONAL INFORMATION
SAS Visual Statistics is a powerful software that allows data visualization in order to improve findings from data scientists and statisticians and enhance your previsions and data analytical skills in your business.