SAS Institute Inc.

SAS Data Quality

9.0 /10

56 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.

92 Likeliness to Recommend

100 Plan to Renew

89 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+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

Trustworthy
Efficient Service
Respectful
Acts with Integrity

Feature Ratings

Average 88

Data Cleansing

Usability

Dashboard

Data Profiling

Geocoding

Data Enrichment

Reporting Components

Record Management

Record Deduplication

Data Integrity

Data Matching

Vendor Capability Ratings

Average 87

Quality of Features

Product Strategy and Rate of Improvement

Breadth of Features

Business Value Created

Ease of IT Administration

Ease of Implementation

Ease of Customization

Availability and Quality of Training

Ease of Data Integration

Usability and Intuitiveness

Vendor Support

SAS Data Quality Reviews

Emily L.

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

Validated Review

Verified Reviewer

Submitted Oct 2024

Achieving Data Excellence with SAS

Likeliness to Recommend

8 /10

What differentiates SAS Data Quality from other similar products?

SAS Data Quality helps us in maintaining the accuracy, consistency, and credibility of our data.

What is your favorite aspect of this product?

It mainly focuses on improving data so for this, it empowers us to take more efficient and instant decisions keeping in view the maintenance of compliance and standards of regulation. It also caters to us with powerful data profiling capabilities so that we can assess at which state our data lies.

What do you dislike most about this product?

A steep learning curve is used to face at the point where I lacked enough knowledge about this software.

What recommendations would you give to someone considering this product?

It is an ideal choice for all those who are seeking the best data quality management tool. It maintains the quality of data at high values and utilizes its advanced features in doing so.

Pros

Reliable
Enables Productivity
Effective Service
Saves Time

Manjunath D.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

Customer service is the best from SAS

Likeliness to Recommend

10 /10

What differentiates SAS Data Quality from other similar products?

The customer support and services by the SAS is so awesome. They clear all the issues on time

What is your favorite aspect of this product?

As said, the customer service by the support team is the best

What do you dislike most about this product?

Nothing as far

What recommendations would you give to someone considering this product?

SAS provide the best quality and support. You can go for it

Pros

Helps Innovate
Reliable
Performance Enhancing
Unique Features

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

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

92 Likeliness to Recommend

100 Plan to Renew

89 Satisfaction of Cost Relative to Value

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.

Usability Includes business-oriented interface made available to business and technical users in a manner relevant to their role.

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.

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

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

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

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.

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 Integrity Includes data accuracy, data maintenance, and data verification and validation.

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

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.

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

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

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

Emily L.

Achieving Data Excellence with SAS

Likeliness to Recommend

Pros

Manjunath D.

Customer service is the best from SAS

Likeliness to Recommend

Pros

Ashutosh J.

easy implementation

Likeliness to Recommend

Pros

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Feature Ratings

Data Cleansing

Usability

Dashboard

Data Profiling

Geocoding

Data Enrichment

Reporting Components

Record Management

Record Deduplication

Data Integrity

Data Matching

Vendor Capability Ratings

Quality of Features

Product Strategy and Rate of Improvement

Breadth of Features

Business Value Created

Ease of IT Administration

Ease of Implementation

Ease of Customization

Availability and Quality of Training

Ease of Data Integration

Usability and Intuitiveness

Vendor Support