SAS

SAS Visual Data Mining and Machine Learning

Composite Score

7.2 /10

CX Score

7.6 /10

10 Reviews Write a Review

Claim Software

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.

Company Details

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

SAS Visual Data Mining and Machine Learning Ratings

Real user data aggregated to summarize the product performance and customer experience.

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

87 Plan to Renew

73 Satisfaction of Cost Relative to Value

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

undefined

{y}

{name}

Emotional Footprint Overview

Product Experience:: 91%
Negotiation and Contract:: 78%
Conflict Resolution:: 94%
Strategy & Innovation:: 88%
Service Experience:: 94%

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.

+90 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

Cons

Under Delivered

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 77

Quality of Features

Ease of Implementation

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Customization

Availability and Quality of Training

Business Value Created

Usability and Intuitiveness

Ease of IT Administration

Ease of Data Integration

Vendor Support

SAS Visual Data Mining and Machine Learning Reviews

Ramya E.

Role: Operations
Industry: Education
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Sep 2024

Top features

Likeliness to Recommend

10 /10

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

SAS Visual Data Mining and Machine Learning differentiates itself from other similar products through its comprehensive, end-to-end analytics platform that combines powerful data processing, advanced machine learning algorithms, and intuitive visual interfaces.

What is your favorite aspect of this product?

SAAS Visual Data Mining and Machine Learning excels in handling large datasets and complex statistical analyses, making it particularly strong for industries that require rigorous data scrutiny.

What do you dislike most about this product?

its steep learning curve, especially for users who are new to the SAS ecosystem or machine learning in general.

What recommendations would you give to someone considering this product?

Start with a clear understanding of your data science needs and how SAS’s advanced features can meet them.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Kareem O.

Role: Finance
Industry: Food and Beverage
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Aug 2024

Easy Implementation

Likeliness to Recommend

8 /10

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

SAS VDMML offers a complete, integrated platform for the entire data science workflow, from data preparation and exploration to advanced modeling and deployment. This end-to-end approach simplifies the process and reduces the need for disparate tools.

What is your favorite aspect of this product?

My favorite aspect of SAS Visual Data Mining and Machine Learning (VDMML) is its integrated end-to-end workflow. This feature seamlessly combines data preparation, exploration, modeling, and deployment into a single platform.

What do you dislike most about this product?

The main drawback of SAS Visual Data Mining and Machine Learning (VDMML) is its complexity and steep learning curve. The platform's extensive range of features and advanced capabilities can be overwhelming for new users, requiring significant time and effort to master.

What recommendations would you give to someone considering this product?

Assess whether the comprehensive features of VDMML align with your organization’s data science and analytics requirements. Its robust capabilities are ideal for complex and large-scale projects, but simpler solutions might suffice for less demanding tasks.

Pros

Inspires Innovation
Client's Interest First
Helps Innovate
Enables Productivity

Faisal S.

Role: Sales Marketing
Industry: Healthcare
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Nov 2023

Cost Effective Solution

Likeliness to Recommend

5 /10

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

Data validity and smooth transformation

What is your favorite aspect of this product?

Operations make smooth

What do you dislike most about this product?

I am quite Not sure

What recommendations would you give to someone considering this product?

It is such a good and cost effective product for Business organization

Pros

Reliable
Efficient Service
Saves Time
Acts with Integrity

Cons

Under Delivered

Most Popular SAS Visual Data Mining and Machine Learning Comparisons

Microsoft Power Query
Compare
Alteryx
Compare
Databricks Data Intelligence Platform
Compare
Tableau Prep
Compare
TIBCO EBX
Compare
Ataccama ONE Platform
Compare

See All Alternatives

SAS Visual Data Mining and Machine Learning

What is SAS Visual Data Mining and Machine Learning?

Company Details

Need Assistance?

SAS Visual Data Mining and Machine Learning Ratings

79 Likeliness to Recommend

87 Plan to Renew

73 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

Emotional Footprint Overview

+90 Net Emotional Footprint

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

Chart

Pros

Cons

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 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.

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.

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.

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

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

Ramya E.

Top features

Likeliness to Recommend

Pros

Kareem O.

Easy Implementation

Likeliness to Recommend

Pros

Faisal S.

Cost Effective Solution

Likeliness to Recommend

Pros

Cons

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

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 Implementation

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Customization

Availability and Quality of Training

Business Value Created

Usability and Intuitiveness

Ease of IT Administration

Ease of Data Integration

Vendor Support