SAS

SAS Visual Data Mining and Machine Learning

Composite Score

7.6 /10

CX Score

7.9 /10

11 Reviews Write a Review

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What is SAS Visual Data Mining and Machine Learning?

Solve the most complex analytical problems with a single, integrated, collaborative solution – now with its own automated modeling API.

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SAS Visual Data Mining and Machine Learning Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on SAS Visual Data Mining and Machine Learning.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

80 Likeliness to Recommend

1
Since last award

88 Plan to Renew

1
Since last award

73 Satisfaction of Cost Relative to Value

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 92%
Negotiation and Contract:: 80%
Conflict Resolution:: 95%
Strategy & Innovation:: 89%
Service Experience:: 95%

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+91 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love SAS Visual Data Mining and Machine Learning?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Enables Productivity
Trustworthy
Efficient Service

Feature Ratings

Average 81

Data Integration

Data Access

Data Connectors and Data Mashup

Data Cleansing

Data Enrichment

Data Security

Data Profiling

Data Modelling Tools

Cataloging

Data Packaging

Data Labeling

Vendor Capability Ratings

Average 78

Quality of Features

Ease of Customization

Ease of Implementation

Breadth of Features

Product Strategy and Rate of Improvement

Availability and Quality of Training

Ease of IT Administration

Business Value Created

Usability and Intuitiveness

Ease of Data Integration

Vendor Support

SAS Visual Data Mining and Machine Learning Reviews

Damilola A.

Role: Operations
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Apr 2025

Powerful Tool for Advanced Analytics

Likeliness to Recommend

9 /10

What differentiates SAS Visual Data Mining and Machine Learning from other similar products?

SAS Visual Data Mining and Machine Learning stands out due to its strong focus on both automation and user experience. It offers an intuitive visual interface that allows users to build, validate, and deploy models without extensive coding knowledge, making it accessible to both data scientists and business analysts. Additionally, SAS's robust data management capabilities seamlessly integrate with the analytics process, ensuring high data quality. The platform also includes advanced algorithms and machine learning techniques, supported by SAS's long-standing expertise in analytics.

What is your favorite aspect of this product?

One of my favourite features of SAS Visual Data Mining and Machine Learning is its user-friendly UI. It simplifies difficult analytics, allowing both experienced data professionals and amateurs to visualise data and construct models without becoming bogged down in coding. I really like how it blends strong algorithms with built-in automation to accelerate the modelling process while maintaining accuracy. It truly allows users to examine their data creatively and make informed conclusions swiftly.

What do you dislike most about this product?

One aspect of SAS Visual Data Mining and Machine Learning that I find frustrating is that the licensing and pricing can be expensive, particularly for smaller organisations or individual users. This may make it less accessible than some other tools on the market. Additionally, while the interface is generally user-friendly, there can still be a learning curve, especially for those who are completely new to data science. It would be great to see more resources or tutorials to help ease that transition.

What recommendations would you give to someone considering this product?

If you're thinking about using SAS Visual Data Mining and Machine Learning, my first suggestion is to try the trial version, if it's available. It's an excellent method to test the features and determine whether they match your specific requirements before making a complete commitment. Invest some time in SAS's training resources and documentation. They provide a multitude of lessons and support to help you flatten the learning curve and get the most out of the product.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Favour J.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Feb 2025

Fantastic advanced analytical features

Likeliness to Recommend

9 /10

What differentiates SAS Visual Data Mining and Machine Learning from other similar products?

Visual Interface that records the entire analytical life cycle process

What is your favorite aspect of this product?

Data Wrangling features

What do you dislike most about this product?

A bit technical

What recommendations would you give to someone considering this product?

Highly Recommended for advanced data analytics

Pros

Saves Time
Performance Enhancing
Enables Productivity
Trustworthy

Milan P.

Role: Public Sector
Industry: Government
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Dec 2024

Easy to use product but it is pricey

Likeliness to Recommend

7 /10

What differentiates SAS Visual Data Mining and Machine Learning from other similar products?

SAS Visual Data Mining and Machine Learning stands out with its user-friendly interface, powerful analytics, and seamless integration on SAS Viya, enabling easy sharing and deployment of models.

What is your favorite aspect of this product?

I'm not really a huge fan of SAS products but I have to admit that I like the integration the most with other SAS products like SAS Viya.

What do you dislike most about this product?

What I don't like is the expensive license that comes with SAS products like SAS Visual Data Mining and Machine Learning.

What recommendations would you give to someone considering this product?

If you already are working with SAS Software and you need something for Data Mining / ML, you should give it a try. Otherwise, look for something that is cheaper in terms of licensing.

Pros

Enables Productivity
Client's Interest First
Helps Innovate
Performance Enhancing

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SAS Visual Data Mining and Machine Learning

What is SAS Visual Data Mining and Machine Learning?

Company Details

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Awards & Recognition

SAS Visual Data Mining and Machine Learning Ratings

80 Likeliness to Recommend

1 Since last award

88 Plan to Renew

1 Since last award

73 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

Emotional Footprint Overview

+91 Net Emotional Footprint

How much do users love SAS Visual Data Mining and Machine Learning?

Chart

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Data Access Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Data Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

Data Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Cataloging Interactive graphical exploratory data analysis through immersive interfaces.

Data Packaging Creating technology-specific data repository design optimized for a consumption use case, e.g.: time-series database, muti-dimensional cube, graph database, etc

Data Labeling Ability to annotate/ label data to create a training data set.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

SAS Visual Data Mining and Machine Learning Reviews

Damilola A.

Powerful Tool for Advanced Analytics

Likeliness to Recommend

Pros

Favour J.

Fantastic advanced analytical features

Likeliness to Recommend

Pros

Milan P.

Easy to use product but it is pricey

Likeliness to Recommend

Pros

Most Popular SAS Visual Data Mining and Machine Learning Comparisons

Microsoft Power Query

Alteryx

Databricks Data Intelligence Platform

Tableau Prep

TIBCO EBX

Ataccama ONE Platform

1
Since last award

1
Since last award

Feature Ratings

Data Integration

Data Access

Data Connectors and Data Mashup

Data Cleansing

Data Enrichment

Data Security

Data Profiling

Data Modelling Tools

Cataloging

Data Packaging

Data Labeling

Vendor Capability Ratings

Quality of Features

Ease of Customization

Ease of Implementation

Breadth of Features

Product Strategy and Rate of Improvement

Availability and Quality of Training

Ease of IT Administration

Business Value Created

Usability and Intuitiveness

Ease of Data Integration

Vendor Support