SAS Visual Data Mining and Machine Learning Customer Reviews 2025

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SAS

SAS Visual Data Mining and Machine Learning

Composite Score

7.7 /10

CX Score

8.2 /10

15 Reviews

What is SAS Visual Data Mining and Machine Learning?

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

Company Details

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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.

79 Likeliness to Recommend

92 Plan to Renew

5
Since last award

77 Satisfaction of Cost Relative to Value

4
Since last award

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Emotional Footprint Overview

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.

+93 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 82

Data Cleansing

Data Integration

Data Access

Data Enrichment

Data Connectors and Data Mashup

Data Profiling

Data Modelling Tools

Cataloging

Data Security

Data Packaging

Data Mining

Vendor Capability Ratings

Average 79

Quality of Features

Ease of Implementation

Business Value Created

Ease of IT Administration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization

Breadth of Features

Ease of Data Integration

Vendor Support

SAS Visual Data Mining and Machine Learning Reviews

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

Amr M.

Role: Consultant
Industry: Education
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jun 2022

Easy-to-use Machine Learning solution.

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 service is easy-to-use and has almost all the needed features for successful data projects.

What is your favorite aspect of this product?

The service allows users to leverage the power of data to focus more on their business goals and less on the technology under the hood.

What do you dislike most about this product?

The service learning resources need more interactive examples and simplified learning materials.

What recommendations would you give to someone considering this product?

Although the service is targeting non-technical users, expect some technical difficulties and consider spending some time learning some technical concepts.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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SAS Visual Data Mining and Machine Learning

What is SAS Visual Data Mining and Machine Learning?

Company Details

Need Assistance?

Awards & Recognition

SAS Visual Data Mining and Machine Learning Ratings

79 Likeliness to Recommend

92 Plan to Renew

5 Since last award

77 Satisfaction of Cost Relative to Value

4 Since last award

Emotional Footprint Overview

+93 Net Emotional Footprint

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

Pros

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

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

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

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

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

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 Mining Explorative automated analysis of data to discover patterns and trends

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 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.

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.

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

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.

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.

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 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.

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.

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

Favour J.

Fantastic advanced analytical features

Likeliness to Recommend

Pros

Milan P.

Easy to use product but it is pricey

Likeliness to Recommend

Pros

Amr M.

Easy-to-use Machine Learning solution.

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

Title

5
Since last award

4
Since last award

Feature Ratings

Data Cleansing

Data Integration

Data Access

Data Enrichment

Data Connectors and Data Mashup

Data Profiling

Data Modelling Tools

Cataloging

Data Security

Data Packaging

Data Mining

Vendor Capability Ratings

Quality of Features

Ease of Implementation

Business Value Created

Ease of IT Administration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization

Breadth of Features

Ease of Data Integration

Vendor Support