ML Platforms

SAS Visual Data Mining and Machine Learning

A powerful tool for data exploration and predictive modeling.

SAS Visual Data Mining and Machine Learning screenshot

Overview

SAS Visual Data Mining and Machine Learning is a robust software solution designed for data scientists and analysts. It helps users to explore, analyze, and visualize data effectively. This software provides a comprehensive environment for building and validating predictive models using machine learning techniques.

The platform supports a variety of data sources and offers tools for data preparation, model training, and evaluation. Its user-friendly interface allows for easy navigation, making it accessible to users with varying skill levels. Through its integration with SAS Cloud, users can leverage high-performance computing resources for their data-driven tasks.

Moreover, SAS Visual Data Mining and Machine Learning fosters collaboration among team members by allowing them to share insights and models. With its extensive capabilities, this software is suited for businesses aiming to derive valuable insights from complex data sets and improve their decision-making processes.

Pros

  • Wide Range of Tools
  • Scalability
  • Strong Community Support
  • Robust Security Features
  • Continuous Updates

Cons

  • High Learning Curve
  • Cost
  • Resource Intensive
  • Limited Offline Functionality
  • Maturity of Features
Free

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Key features

User-Friendly Interface

The intuitive design allows users to easily navigate through tools and functions without needing advanced technical skills.

Data Preparation Tools

Built-in tools assist users in cleaning and transforming data, making it ready for analysis.

Automated Machine Learning

Automates the model selection and tuning process, allowing users to efficiently search for the best model.

Visualization Capabilities

Offers a range of data visualization options, helping users to easily interpret complex data.

Integration with SAS Viya

Supports seamless integration with SAS Viya for enhanced analytical capabilities and cloud computing.

Model Deployment Options

Users can easily deploy models into production environments for real-time predictions.

Comprehensive Documentation

Detailed guides and resources are available to help users understand features and functionalities.

Collaboration Features

Supports teamwork by allowing users to share projects and insights within the platform.

Rating Distribution

5
74 (85.1%)
4
11 (12.6%)
3
2 (2.3%)
2
0 (0.0%)
1
0 (0.0%)

Feature Ratings

Overall Satisfaction89%

Based on real user reviews. Expand a category to see individual feature scores.

Statistical Tool3 features
Scripting

Supports a variety of scripting environments

Data Mining

Mines data from databases and prepares data for analysis

Algorithms

Applies statistical algorithms to selected data

Data Analysis88% 2 features
Analysis85%

Analyzes both structured and unstructured data This feature was mentioned in 10 SAS Visual Data Mining and Machine Learning reviews.

Based on 10 reviews
Data Interaction90%

Interacts with data to prepare it for visualizations and models 10 reviewers of SAS Visual Data Mining and Machine Learning have provided feedback on this feature.

Based on 10 reviews
Decision Making89% 4 features
Modeling86%

As reported in 11 SAS Visual Data Mining and Machine Learning reviews. Offers modeling capabilities

Based on 11 reviews
Data Visualizations91%

Creates data visualizations or graphs This feature was mentioned in 11 SAS Visual Data Mining and Machine Learning reviews.

Based on 11 reviews
Report Generation91%

Generates reports of data performance 11 reviewers of SAS Visual Data Mining and Machine Learning have provided feedback on this feature.

Based on 11 reviews
Data Unification

Unifies information on a singular platform

Model Development7 features
Language Support

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development

Model Training

Supplies large data sets for training individual models

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development

Model Training

Supplies large data sets for training individual models

Feature Engineering

Transforms raw data into features that better represent the underlying problem to the predictive models

Machine/Deep Learning Services8 features
Computer Vision

Offers image recognition services

Natural Language Processing

Offers natural language processing services

Natural Language Generation

Offers natural language generation services

Artificial Neural Networks

Offers artificial neural networks for users

Computer Vision

Offers image recognition services

Natural Language Understanding

Offers natural language understanding services

Natural Language Generation

Offers natural language generation services

Deep Learning

Provides deep learning capabilities

Deployment6 features
Managed Service

Manages the intelligent application for the user, reducing the need of infrastructure

Application

Allows users to insert machine learning into operating applications

Scalability

Provides easily scaled machine learning applications and infrastructure

Managed Service

Manages the intelligent application for the user, reducing the need of infrastructure

Application

Allows users to insert machine learning into operating applications

Scalability

Provides easily scaled machine learning applications and infrastructure

System3 features
Data Ingestion & Wrangling

Gives user ability to import a variety of data sources for immediate use

Language Support

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

4.6
★★★★★
Based on 87 reviews
Udbhasan D.Enterprise(> 1000 emp.)
October 15, 2024
★★★★★

Best platform for building data stories

What do you like best about SAS Advanced Analytics?

1. Easy data mining and data preparation

2. Ease of use in terms of statistical analysis and understanding behavioral patterns

3. integration of legacy SQL helps experienced individuals to come to the platform and use it

What do you dislike about ...

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Vishal R A.Data Engineer - AdTechMid-Market(51-1000 emp.)
March 13, 2024
★★★★★

Best integrated environment for Data Science Project Implementation.

What do you like best about SAS Visual Data Science Decisioning?

SAS Visual Data Science Decisioning is one of the best integrated Environment for data preparation, exploration, modeling, and deployment. Its inbuilt machine learning features helped us in implementing data science project very faster...

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Akanksha G.Senior Test EngineerEnterprise(> 1000 emp.)
March 4, 2024
★★★★★

One of the Best Cloud Enabled tool for Predictive Analytics and Data Visualization

What do you like best about SAS Viya Platform?

It is one of the best cloud-based and in-memory analytics software in the market. It is very easy for use who has already worked on SAS Studio or SAS enterprise Guide. One can easily connect it with Teradata or Hadoop for large data processing . It has ...

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Anonymous ReviewerEnterprise(> 1000 emp.)
February 26, 2024
★★★★★

SAS Viya an intuitive and powerful tool to facilitate advanced analytics and ML capabilities

What do you like best about SAS Viya Platform?

SAS Viya is designed to work in a cloud environment, allowing users to take advantage of cloud infrastructure for scalability and flexibility.

SAS Viya leverages in-memory processing to accelerate analytics and reporting, allowing for faster insights fr...

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Tiffiany S.Management StaffSmall-Business(50 or fewer emp.)
November 10, 2023
★★★★★

User Friendly & Intuitive!

What do you like best about SAS Viya Platform?

The charts and AI generated analytics are incredibly accurate. I have checked many of the things that I've been given in chart/graph form and there have been zero errors. Not only is the platform "smart", but it's intuitive and very user friendly! Set u...

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Company Information

LocationCary, NC
Founded1976
Employees17.2k+

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FAQ

Here are some frequently asked questions about SAS Visual Data Mining and Machine Learning.

What is SAS Visual Data Mining and Machine Learning?

It is a software platform designed to help users analyze data and build predictive models.

Who can use this tool?

Data scientists, analysts, and business analysts can use it to explore and analyze data.

What types of data can I use?

You can use a variety of data sources including structured and unstructured data.

Is there support for collaboration?

Yes, it allows users to share projects and insights with team members.

Can I deploy my models?

Yes, the platform provides options to deploy models into production environments.

What are the system requirements?

It requires sufficient system resources, particularly when working with large datasets or complex models.

Is there training available for new users?

Yes, there are extensive documentation and training resources to assist users.

Can I integrate it with other SAS products?

Yes, it integrates well with other SAS solutions, particularly SAS Viya.