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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Enhance the efficiency of the data mining workflow to expedite model development. Gain insight into critical relationships and identify the most significant patterns. Significantly reduce the time it takes for data miners and statisticians to create models. An intuitive, self-documenting process flow diagram environment effectively outlines the complete data mining procedure to yield optimal outcomes. Furthermore, it boasts a wider array of predictive modeling techniques than any other available commercial data mining software. Why settle for anything less than the best? Business professionals and domain experts with minimal statistical expertise can easily construct their own models using SAS Rapid Predictive Modeler. Its user-friendly interface guides them through a sequence of data mining activities. The analytics findings are presented in straightforward charts that deliver the clarity required for improved decision-making. Leverage cutting-edge algorithms and industry-adapted methods to develop superior models. Additionally, confirm the accuracy of results through visual evaluations and validation metrics, ensuring a robust modeling process. This comprehensive approach not only enhances model performance but also empowers users to make informed choices with confidence.

Description

SAS® Viya® offers a robust and scalable analytics platform that is both efficient and easy to implement, allowing organizations to address a variety of business challenges. The insights generated automatically help in pinpointing the most frequently used variables across all models, highlighting key variables selected along with evaluation outcomes for each model. With the integration of natural language generation, project summaries are produced in straightforward language, which simplifies the interpretation of reports for users. Moreover, members of the analytics team can enhance the insights report with project notes, promoting better communication and teamwork. SAS further enables the integration of open source code within analyses, allowing users to utilize open source algorithms effortlessly in its platform. This flexibility encourages collaboration throughout your organization, as users are free to program in their preferred language. Additionally, you can leverage SAS Deep Learning with Python (DLPy), an open-source package available on GitHub, to expand your analytical capabilities even further. By using these tools, businesses can significantly enhance their data-driven decision-making processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Azure Marketplace
GitHub
Google Cloud Platform
JMP Statistical Software
Microsoft Azure
Red Hat OpenShift
SAS Analytics Pro
SAS Analytics for IoT
SAS Data Loader for Hadoop
SAS Data Science Programming
SAS MDM
SAS Visual Analytics
SAS Visual Data Science
SAS Visual Data Science Decisioning
SAS Visual Machine Learning
SAS Visual Statistics

Integrations

Amazon Web Services (AWS)
Azure Marketplace
GitHub
Google Cloud Platform
JMP Statistical Software
Microsoft Azure
Red Hat OpenShift
SAS Analytics Pro
SAS Analytics for IoT
SAS Data Loader for Hadoop
SAS Data Science Programming
SAS MDM
SAS Visual Analytics
SAS Visual Data Science
SAS Visual Data Science Decisioning
SAS Visual Machine Learning
SAS Visual Statistics

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

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

Vendor Details

Company Name

SAS

Country

United States

Website

www.sas.com/en_us/software/data-science-offerings.html

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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