SAS Institute Inc.

SAS Data Quality

Composite Score

8.8 /10

CX Score

9.1 /10

61 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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2024 Emotional Footprint Champion

Latest Award, 2024

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation

Latest Award, 2024

2024 Data Quadrant Gold Medalist

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 Gold Medalist

2023

9 Top Rated Capabilities

11 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

Service Experience
Product Impact

2022

2022 Data Quadrant Gold Medalist

2022

2 Top Rated Capabilities

1 Top Rated Features

2022

2021 Data Quadrant Gold Medalist

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.

91 Likeliness to Recommend

1
Since last award

100 Plan to Renew

90 Satisfaction of Cost Relative to Value

1
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

0% Neutral

100% Positive

Pros

Helps Innovate
Trustworthy
Efficient Service
Respectful

Feature Ratings

Average 87

Data Cleansing

Data Profiling

Data Enrichment

Dashboard

Record Management

Geocoding

Reporting Components

Data Matching

Record Deduplication

Data Monitoring and Administration

Data Source Connectivity

Vendor Capability Ratings

Average 87

Quality of Features

Product Strategy and Rate of Improvement

Ease of IT Administration

Breadth of Features

Business Value Created

Ease of Implementation

Ease of Data Integration

Availability and Quality of Training

Ease of Customization

Usability and Intuitiveness

Vendor Support

SAS Data Quality Reviews

Kate S.

Role: Finance
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jan 2025

Elevating Your Data Strategy

Likeliness to Recommend

8 /10

What differentiates SAS Data Quality from other similar products?

It can also recognize compatibility even in the presence of typographical errors, language differences, and cultural variation. At the same time, other similar products find it challenging to handle these areas. It utilizes sophisticated matching algorithms for reducing duplicates, for entity resolution, and for ensuring precision to the maximum.

What is your favorite aspect of this product?

It offers highly customized features. It gives us major benefits to generate customized business strategies to meet the needs of our work. We can refine our workload to match business-eccentric compliance necessities along with achieving operational goals. We can say that its strength exists around its versatility, flexibility, and integration abilities, which empower us to maintain the quality of our data.

What do you dislike most about this product?

Its initial deployment and setup process sometimes takes more time causing complexities, especially when we have a team with limited IT experts. Although integration of SAS with the SAS system is seamless in cases with non-SAS systems demands technical expertise and custom development.

What recommendations would you give to someone considering this product?

Figure out the challenges you are facing regarding data quality including address validation, cleansing, deduplication, and data profiling. Make sure about the technical skills of your IT team and about the basic training to fully utilize its features.

Pros

Reliable
Performance Enhancing
Unique Features
Efficient Service

John V.

Role: Information Technology
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2025

Best Data Matching SAS Data Quality

Likeliness to Recommend

10 /10

What differentiates SAS Data Quality from other similar products?

SAS Data Quality helps to maintain good Datasets because it has the robust feature in Data matching. That is one of the unique & differentiator for SAS Data Quality from other products.

What is your favorite aspect of this product?

Data matching is my favorite aspect in SAS Data Quality.

What do you dislike most about this product?

It is very hard to learn SAS Data Quality. For large datasets, system might become lag / slow. SAS DQ should rework on that aspect.

What recommendations would you give to someone considering this product?

If you or your company is looking for a good Data Cleansing, Data Matching & Data governance, then SAS Data Quality is the best product for you & your business.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Mudassar H.

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

Validated Review

Verified Reviewer

Submitted Dec 2024

Enrich Data Quality and Data Reliability

Likeliness to Recommend

9 /10

What differentiates SAS Data Quality from other similar products?

The tool solve the basic purpose to enhance the data quality. It can process large dataset.

What is your favorite aspect of this product?

The feature I like the most about it is Data Matching and Deduplication, it allows us to identify and merge duplicate records in dataset and helps in comparing and matching records based on specified criteria.

What do you dislike most about this product?

The thing I dislike is Learning Curve, especially for those who are new to SAS or data quality management. It has Limited third party integration. The user interface is not user friendly, can be improved.

What recommendations would you give to someone considering this product?

Highly recommended tool for rich data with quality and reliability,

Pros

Continually Improving Product
Reliable
Enables Productivity
Trustworthy

SAS Data Quality

What is SAS Data Quality?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

2022 Emotional Footprint Champion

2022 Data Quadrant Gold Medalist

2021 Data Quadrant Gold Medalist

SAS Data Quality Ratings

91 Likeliness to Recommend

1 Since last award

100 Plan to Renew

90 Satisfaction of Cost Relative to Value

1 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.

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 .

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

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.

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

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.

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.

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.

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

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.

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 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.

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 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.

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

Kate S.

Elevating Your Data Strategy

Likeliness to Recommend

Pros

John V.

Best Data Matching SAS Data Quality

Likeliness to Recommend

Pros

Mudassar H.

Enrich Data Quality and Data Reliability

Likeliness to Recommend

Pros

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Feature Ratings

Data Cleansing

Data Profiling

Data Enrichment

Dashboard

Record Management

Geocoding

Reporting Components

Data Matching

Record Deduplication

Data Monitoring and Administration

Data Source Connectivity

Vendor Capability Ratings

Quality of Features

Product Strategy and Rate of Improvement

Ease of IT Administration

Breadth of Features

Business Value Created

Ease of Implementation

Ease of Data Integration

Availability and Quality of Training

Ease of Customization

Usability and Intuitiveness

Vendor Support