
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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Real user data aggregated to summarize the product performance and customer experience.
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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
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?
Pros
- Helps Innovate
- Trustworthy
- Efficient Service
- Respectful
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Cleansing
Dashboard
Data Profiling
Geocoding
Data Enrichment
Reporting Components
Record Management
Data Matching
Data Monitoring and Administration
Data Source Connectivity
Record Deduplication
Vendor Capability Ratings
Quality of Features
Ease of Data Integration
Breadth of Features
Ease of Implementation
Ease of IT Administration
Availability and Quality of Training
Business Value Created
Ease of Customization
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Vendor Support
SAS Data Quality Reviews

Adebomi A.
- Role: Finance
- Industry: Banking
- Involvement: End User of Application
Submitted May 2025
Solid for Enterprise Data Quality.
Likeliness to Recommend
What differentiates SAS Data Quality from other similar products?
What makes SAS Data Quality stand out from similar tools is how deeply it integrates advanced analytics and AI with data cleansing and profiling. Unlike many tools that just focus on cleaning and standardizing data, SAS brings in its powerful statistical and machine learning capabilities to help you not just fix data—but understand patterns, predict issues, and automate quality checks intelligently. Also, it fits tightly into the SAS ecosystem, so if you’re already using other SAS tools for analytics or reporting, this one blends in smoothly.
What is your favorite aspect of this product?
My favorite aspect of SAS Data Quality is the data profiling and cleansing automation. Once it’s set up properly, it can catch and fix issues across massive datasets without needing constant manual checks. That saves a lot of time and helps maintain reliable data pipelines—especially useful when working with large, messy datasets across different systems.
What do you dislike most about this product?
SAS Data Quality can feel too heavy and complex, especially at the beginning. Setting it up and customizing rules takes time and often requires someone with solid SAS experience. For smaller teams or those not already in the SAS environment, the learning curve and cost might be a bit much.
What recommendations would you give to someone considering this product?
If you’re considering SAS Data Quality, make sure your team has (or plans to build) strong SAS expertise. It’s best suited for organizations that already use other SAS tools or deal with large, complex datasets where automated data profiling and cleansing really matter. Start with a pilot on a small dataset to understand the setup before scaling. And don’t skip the training—it helps a lot.
Pros
- Helps Innovate
- Trustworthy
- Client Friendly Policies
- Fair
Please tell us why you think this review should be flagged.

Kate S.
- Role: Finance
- Industry: Finance
- Involvement: End User of Application
Submitted Jan 2025
Elevating Your Data Strategy
Likeliness to Recommend
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
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John V.
- Role: Information Technology
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Jan 2025
Best Data Matching SAS Data Quality
Likeliness to Recommend
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
Please tell us why you think this review should be flagged.
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