SAS

SAS Data Quality

Composite Score

8.9 /10

CX Score

9.2 /10

69 Reviews Write a Review

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What is SAS Data Quality?

SAS software for data preparation and data quality enables data transformation, self-service data integration and data enrichment for clean, reliable data. SAS Data Quality helps you make data-driven decisions you can trust. Use it to improve and monitor the health and value of your data so you can confidently fuel operations, compliance and analytics initiatives.

Company Details

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Awards & Recognition

SAS Data Quality won the following awards in the Data Quality category

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2025 Data Quadrant Champion

Latest Award, 2025

10 Top Rated Capabilities

7 Top Rated Features

Latest Award, 2025

2024 Emotional Footprint Champion

2024

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation

2024

2024 Data Quadrant Champion

2024

10 Top Rated Capabilities

11 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Strategy and Innovation
Service Experience
Product Impact

2023

2023 Data Quadrant Champion

2023

9 Top Rated Capabilities

11 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

Service Experience
Product Impact

2022

2022 Data Quadrant Champion

2022

2 Top Rated Capabilities

1 Top Rated Features

2022

2021 Data Quadrant Champion

2021

SAS Data Quality Ratings

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

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

100 Plan to Renew

86 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.

+98 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 Data Quality?

0% Negative

2% Neutral

98% Positive

Pros

Helps Innovate
Trustworthy
Efficient Service
Respectful

Feature Ratings

Average 85

Data Cleansing

Dashboard

Data Profiling

Data Enrichment

Record Management

Data Matching

Geocoding

Reporting Components

Data Monitoring and Administration

Data Source Connectivity

Record Deduplication

Vendor Capability Ratings

Average 86

Quality of Features

Ease of Implementation

Ease of Data Integration

Breadth of Features

Availability and Quality of Training

Ease of IT Administration

Business Value Created

Ease of Customization

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Vendor Support

SAS Data Quality Reviews

Ashutosh J.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

easy implementation

Likeliness to Recommend

9 /10

What differentiates SAS Data Quality from other similar products?

SAS Data Quality is likely tightly integrated with the broader SAS ecosystem, including SAS Analytics, SAS Data Management, and SAS Viya platforms.

What is your favorite aspect of this product?

one aspect that users might appreciate is its comprehensive set of data quality features.

What do you dislike most about this product?

i don't have any dislike

What recommendations would you give to someone considering this product?

Clearly define your organization's data quality requirements and objectives. Identify the specific data quality issues you need to address, such as data cleansing, standardization, deduplication, or enrichment.

Pros

Reliable
Performance Enhancing
Enables Productivity
Efficient Service

Drishti T.

Role: Information Technology
Industry: Banking
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Jan 2024

Fantastic product

Likeliness to Recommend

8 /10

What differentiates SAS Data Quality from other similar products?

The ease of customisation and affordability and reliability as per the current regulations

What is your favorite aspect of this product?

The services and cloud architecture of the product which fulfill the needs of all banks.

What do you dislike most about this product?

There is nothing to dislike

What recommendations would you give to someone considering this product?

If this can provide with a user friendly course for initial learners of the SAS product.

Pros

Helps Innovate
Reliable
Fair
Over Delivered

Sonu K.

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

Validated Review

Verified Reviewer

Submitted Jan 2024

Fantastic product Customer support poor

Likeliness to Recommend

9 /10

What differentiates SAS Data Quality from other similar products?

Ease of use, its features and unique style

What is your favorite aspect of this product?

Security, data managment, delightful features

What do you dislike most about this product?

Customer skill enhance and demo time is not given

What recommendations would you give to someone considering this product?

Security, ease of implementation, manage time

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

SAS Data Quality

What is SAS Data Quality?

Company Details

Need Assistance?

Awards & Recognition

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

2022 Emotional Footprint Champion

2022 Data Quadrant Champion

2021 Data Quadrant Champion

SAS Data Quality Ratings

89 Likeliness to Recommend

1 Since last award

100 Plan to Renew

86 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+98 Net Emotional Footprint

How much do users love SAS Data Quality?

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.

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

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

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

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 Matching Includes fuzzy matching, data comparison, and data merging.

Geocoding Includes geo-referencing, address validation and verification, data mapping, and data append.

Reporting Components Lightweight controls and components that are easily embeddable and reusable. Integration with common apps such as Word, Excel, etc.

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Data Source Connectivity Includes abiity to connect to a wide selection of data source types and systems.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

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.

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

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.

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 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.

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.

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 Data Quality Reviews

Ashutosh J.

easy implementation

Likeliness to Recommend

Pros

Drishti T.

Fantastic product

Likeliness to Recommend

Pros

Sonu K.

Fantastic product Customer support poor

Likeliness to Recommend

Pros

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SAP Data Services

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Since last award

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Feature Ratings

Data Cleansing

Dashboard

Data Profiling

Data Enrichment

Record Management

Data Matching

Geocoding

Reporting Components

Data Monitoring and Administration

Data Source Connectivity

Record Deduplication

Vendor Capability Ratings

Quality of Features

Ease of Implementation

Ease of Data Integration

Breadth of Features

Availability and Quality of Training

Ease of IT Administration

Business Value Created

Ease of Customization

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Vendor Support