SAS Institute Inc.

SAS Data Quality

Composite Score

9.0 /10

CX Score

9.2 /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.

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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.

92 Likeliness to Recommend

100 Plan to Renew

89 Satisfaction of Cost Relative to Value

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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

Trustworthy
Efficient Service
Respectful
Acts with Integrity

Feature Ratings

Average 87

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

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

Sheetal R.

Role: Human Resources
Industry: Manufacturing
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Oct 2023

Fantastic product

Likeliness to Recommend

10 /10

What differentiates SAS Data Quality from other similar products?

The most challenging step in any analytics project is gathering data and transforming it so that it is business-ready. Sas data quality assisted us in profiling data, previewing and standardising it, and monitoring it in order to avoid data issues throughout the analytics phase.

What is your favorite aspect of this product?

I enjoy how the interface modifications allow users to perform more on one screen in a more effective manner. Viya handles tabs better than desktop SAS, and it's convenient that datasets don't need to be closed to be changed. There have also been other enhancements to the quality of life. You can save commonly used routines in snippets and transmit outputs in a number of formats and methods. These features were missing from the desktop version and help to modernise the SAS experience.

What do you dislike most about this product?

I didn't perceive any disadvantages to utilising SAS Viya, but I would prefer it if the software's creators made it available to a wider audience. I've been using SAS software for over 7 years, and they were the first to build such enterprise-level statistical analysis applications. However, when I changed professions in the same field, I noticed that few organisations were adopting SAS programmes.

What recommendations would you give to someone considering this product?

SAS allows me to finish all of my analyses in a reasonable period of time and in an organised manner without having to spend a lot of money on software. I appreciate how useful it is for mixture modelling.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Ricardo M.

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

Validated Review

Verified Reviewer

Submitted Oct 2023

Powerful Approach for Data Quality

Likeliness to Recommend

9 /10

What differentiates SAS Data Quality from other similar products?

The tool has mechanisms that ensure quality data is well attained and business measures are deployed to maintain the proficiency.

What is your favorite aspect of this product?

The most articulate way in controlling all data mechanisms are well deployed by this software, and this resolves the many challenges that we have as a business.

What do you dislike most about this product?

The security measures are fully deployed in this system, and it gives maximum assistance for us the business' users.

What recommendations would you give to someone considering this product?

The most collective solution is this, and it manages all the activities that entails data reliability and performance for businesses.

Pros

Helps Innovate
Unique Features
Efficient Service
Inspires Innovation

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

Sonu K.

Fantastic product Customer support poor

Likeliness to Recommend

Pros

Sheetal R.

Fantastic product

Likeliness to Recommend

Pros

Ricardo M.

Powerful Approach for Data Quality

Likeliness to Recommend

Pros

Most Popular SAS Data Quality Comparisons

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SAP Data Services

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