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SAS

SAS Viya

Composite Score

7.6 /10

CX Score

7.8 /10

37 Reviews Write a Review

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What is SAS Viya?

SAS Viya (formerly SAS Visual Data Mining and Machine Learning) is a cloud-native, end-to-end data and AI platform that makes development easier and boosts productivity with tools that are friendly for everyone on your team. Solve the most complex analytical problems with a single, integrated, collaborative solution – now with its own automated modeling API.

Company Details

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SAS Viya Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on SAS Viya.

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.

89 Likeliness to Recommend

1
Since last award

99 Plan to Renew

85 Satisfaction of Cost Relative to Value

2
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.

+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 Viya?

1% Negative

7% Neutral

92% Positive

Pros

Enables Productivity
Reliable
Fair
Efficient Service

Feature Ratings

Average 86

Entity Relationship Management

Record Linkage

Multi-Domain Mastering

Record Management

Data Modelling Tools

Reference Data Management

Aggregational Hierarchies Management

Record Deduplication

Entity Deduplication

Workflow Management

Intrinsic Data Model

Vendor Capability Ratings

Average 82

Business Value Created

Product Strategy and Rate of Improvement

Ease of Implementation

Breadth of Features

Availability and Quality of Training

Ease of IT Administration

Quality of Features

Usability and Intuitiveness

Ease of Data Integration

Ease of Customization

Vendor Support

Also Featured in...

Data Quality

Score 8.9

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Data Preparation for Analytics

Score 7.9

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SAS Viya Reviews

Liam R.

Role: Information Technology
Industry: Food and Beverage
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Dec 2021

Very easy to debug.

Likeliness to Recommend

7 /10

What differentiates SAS Viya from other similar products?

learning is much easier on SAS than say R.

What is your favorite aspect of this product?

SAS has a strong ability to handle large database very easily.

What do you dislike most about this product?

SAS is not open source. R has always implemented a new algorithm related to machine learning more quickly than SAS

What recommendations would you give to someone considering this product?

Consider the costs, is it what you need.

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Cons

Inhibits Innovation

SAS Viya

What is SAS Viya?

Company Details

Need Assistance?

Awards & Recognition

SAS Viya Ratings

89 Likeliness to Recommend

1 Since last award

99 Plan to Renew

85 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+91 Net Emotional Footprint

How much do users love SAS Viya?

Pros

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

Entity Relationship Management Ability to manage relationships across entity instances within the same entity class, as well as across entity classes.

Record Linkage Ability to find records in a dataset that refer to the same entity across different data sources

Multi-Domain Mastering Ability to manage different types of master data (person, product, etc.) inside the same platform.

Record Management Includes ability for Data stewards to monitoring data quality, taking action to determine the root cause of flagged issues and recommending remediation actions.

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

Reference Data Management Ability to store and distribute reference data created externally. Examples of reference data: country/currency codes, administrative regions, etc.

Aggregational Hierarchies Management Ability to create and maintain hierarchical constructs/models used by the business to aggregate information for reporting and analytics.

Record Deduplication Ability to eliminate duplicate records in a datset.

Entity Deduplication Ability to resolve duplicate representation of the same entity instance based on a set of defined attribute/rules and assign unique identifier for each instance

Workflow Management Includes ability to support flexible and comprehensive workflow-based capabilities.

Intrinsic Data Model Includes basic data models out of the box such as customer, account, product, location, etc.

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

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.

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 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.

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.

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.

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.

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.

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.

Also Featured in...

Data Quality

Data Preparation for Analytics

SAS Viya Reviews

Liam R.

Very easy to debug.

Likeliness to Recommend

Pros

Cons

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Feature Ratings

Entity Relationship Management

Record Linkage

Multi-Domain Mastering

Record Management

Data Modelling Tools

Reference Data Management

Aggregational Hierarchies Management

Record Deduplication

Entity Deduplication

Workflow Management

Intrinsic Data Model

Vendor Capability Ratings

Business Value Created

Product Strategy and Rate of Improvement

Ease of Implementation

Breadth of Features

Availability and Quality of Training

Ease of IT Administration

Quality of Features

Usability and Intuitiveness

Ease of Data Integration

Ease of Customization

Vendor Support