Experian Data Quality vs SAS Data Management comparison

Experian and SAS are both solutions in the Data Quality category. Experian is ranked #14, while SAS is ranked #6 with an average rating of 9.3. Experian holds a 4.0% mindshare in DQ, compared to SAS’s 3.3% mindshare. Additionally, 87% of Experian users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

Experian Data Quality

Read 7 Experian Data Quality reviews

2,607 Views
1,069 Comparison Views

87% willing to recommend

SAS Data Management

Read 19 SAS Data Management reviews

4,330 Views
1,039 Comparison Views

88% willing to recommend

Experian Data Quality

SAS Data Management

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

Experian Data Quality and SAS Data Management are competitive solutions in the data management category. While both have strengths, SAS Data Management is generally seen as superior due to its extensive features and robust capabilities.

Features: Experian Data Quality offers efficient data cleansing and verification services, ensuring ease of use. It focuses on straightforward data improvement, beneficial for businesses looking for simple solutions. SAS Data Management provides comprehensive data integration, analytics, and governance, making it appealing for companies with extensive data needs. It emphasizes deep data insight capabilities, providing a robust feature set for more complex requirements.

Room for Improvement: Experian Data Quality could enhance its feature set to include more advanced analytics and governance tools. Greater integration with third-party applications would also be beneficial. Additionally, improving its data insight capabilities could help address the needs of businesses with complex requirements. SAS Data Management could improve by reducing its complexity during initial setup, offering more intuitive user interfaces, and enhancing flexibility for smaller businesses with simpler needs.

Ease of Deployment and Customer Service: Experian Data Quality is known for its easy deployment and responsive customer support, excellent for businesses with straightforward requirements. SAS Data Management, while providing detailed guidance and support, is recognized for requiring a more significant setup and customization process, catering to organizations that need extensive customization and guidance.

Pricing and ROI: Experian Data Quality offers competitive pricing with lower initial setup costs, leading to quicker ROI for budget-conscious businesses. SAS Data Management requires a higher initial investment, which typically delivers higher long-term value for organizations with extensive data needs. Experian is preferred for cost-focused decisions, whereas SAS is viable for those prioritizing broad data capabilities despite higher costs.

To learn more, read our detailed Experian Data Quality vs. SAS Data Management Report (Updated: June 2026).

Buyer's Guide

Experian Data Quality vs. SAS Data Management

June 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Experian Data Quality

Ranking in Data Quality

14th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Scrubbing Software (2nd)

SAS Data Management

Ranking in Data Quality

6th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Integration (26th), Data Governance (24th)

Mindshare comparison

As of June 2026, in the Data Quality category, the mindshare of Experian Data Quality is 4.0%, up from 1.8% compared to the previous year. The mindshare of SAS Data Management is 3.3%, up from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
SAS Data Management	3.3%
Experian Data Quality	4.0%
Other	92.7%

Data Quality

Featured Reviews

it_user187320

BI Developer at a manufacturing company with 1,001-5,000 employees

Fast in taking unstructured data, processing it and spitting out all the different data types. The team moved to SSIS/SSRS, I suspect it didn’t fit in with the goal of creating a data warehouse.

The manual calculations and formulae. They were a bit complex. The formulae were a bit abstract. Not easy to understand. Not intuitive. I sat beside an SSIS guru and he took one look at them and said “Good luck Geoff”. I coded them all and after I left, I got a call from a techy there asking me what they were all about! He hadn’t a clue how to unravel them, even with documentation. Also, they managed to accidentally delete them all. No idea how they did that. After a few panic-filled phone calls, they dropped the whole thing. It was a mess there. Glad I left.

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Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

Data management has ensured compliant clinical trial datasets and supports reliable analysis

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform. The other valuable feature is data cleaning and the compliance that SAS Data Management provides. I can connect SAS Data Management with other SAS applications, as I am using SAS Viya, SAS 9.4, and SAS Enterprise Guide. The data query functionality of SAS Data Management is also very useful. Since I am using SAS Data Management, and SAS Data Management is well trusted by all regulatory authorities, the audit trails and security checks are very good. It is very reliable, very time-saving, and the chances of error are minimal.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It is excellent for data profiling."

"The customer service was very good."

"Pandora provides a quick, efficient way to analyze, control and improve data using integrated technology."

"X88 gave a quick view of the quality of the data and a rapid way to fix issues before exporting for use."

"We were easily able to merge the two sets of data and find the inconsistencies between the two allowing us to complete this part of the project in speedy fashion."

"It has given us the ability to build information that wasn’t otherwise there, to build confidence in our applications, to troubleshoot data effectively and focus our efforts on genuine errors."

"The product allowed us to complete the project on time and within budget and is continuing to be used on subsequent Data Migration/Integration projects."

"Reliable data plus less human intervention and less error have made a significant difference."

"The tool is reliable, quick, and powerful."

"For the warehouse and BI environment, SAS is very quick, very intuitive, very, very powerful, and very valuable."

"National Quality Knoledge Base Matching features QPI (Quality Performance Indicator) analysis approach"

"There is a huge ROI."

"The ROI can be very high in terms of improving the reliability and accuracy of data used in forecasting and marketing models (ex: customer data, sales data)."

"I think the product is very stable, I think it's a marvelous product, it is very widely used by many people and I never hear people complain."

"The product offers very good flexibility."

More SAS Data Management pros

Cons

"The tool was very unstable and was constantly hogging the resources, even if was not operating at the moment."

"End to End connectivity could do with some improvement which I believe they are working on at this time."

"The product appears to be horizontally scalable, but is not something I would use in a large scale automated architecture."

"It is way, way over-priced in my opinion."

"The free data profiler doesn't contain enough dashboards to give the user a better feel of the program."

"The online training is very useful but needs expanding and updating – it has loads of potential."

"The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues."

"For the amount of features that we use, the licensing is expensive."

"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."

"There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage."

"I would like the tool to include the ability to automate the modifications of the integrations."

"The solution could use better documentation."

"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."

"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."

More SAS Data Management cons

Pricing and Cost Advice

Information not available

"The licensing model for vCenter is a perpetual license with yearly payments."

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

"The solution is expensive."

"The tool is a bit expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Retailer

Manufacturing Company

University

Financial Services Firm

17%

Comms Service Provider

Construction Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	8

Questions from the Community

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What is your experience regarding pricing and costs for SAS Data Management?

From my experience, SAS Data Management is an expensive tool.

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What needs improvement with SAS Data Management?

SAS Data Management can be improved in terms of the learning curve.

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What is your primary use case for SAS Data Management?

My main use case for using SAS Data Management is data cleaning for my clinical trial data because my data is very large, and I need clean, reliable, and regulatory compliance data. My data comes f...

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Product Reports

Buyer's Guide

Data Quality

June 2026

Download Experian Data Quality product report

Buyer's Guide

SAS Data Management

May 2026

Download SAS Data Management product report

Also Known As

QAS-Experian Data Quality, Experian Pandora, Intelligent Search Technology Data Quality

SAS Data Management Platform, Data Management Platform, DataFlux

Overview

Experian Data Quality offers advanced tools to manage and enhance data integrity, supporting businesses in making informed decisions. It provides sophisticated solutions to maintain data accuracy and consistency across platforms.

Experian Data Quality is designed to handle complex data requirements with ease. Its tools are essential for organizations that demand precise and reliable data management. Users benefit from accurate data profiling, which ensures data quality at every level. Its flexible data management capabilities allow businesses to adapt to changing data landscapes seamlessly, enhancing operational efficiency and decision-making processes.

What are the key features of Experian Data Quality?

Data Profiling: Offers insights to improve data integrity.
Data Cleansing: Ensures information accuracy by removing errors.
Data Enrichment: Enhances data with additional context.
Data Integration: Seamless integration with business systems.
Data Monitoring: Tracks data quality over time.

What benefits and ROI should users look for in reviews?

Enhanced Decision-Making: Accurate data leads to smarter business decisions.
Operational Efficiency: Streamlined data processes improve productivity.
Cost Reduction: Minimizes losses due to erroneous data.
Customer Insight: Better data clarity aids in understanding customer behavior.

Experian Data Quality is widely implemented in sectors such as finance, healthcare, and retail, where maintaining data accuracy is critical. These industries rely on the platform to deliver consistent and precise data for compliance and strategic initiatives. Its capacity to adapt to different industry standards makes it an integral tool for businesses seeking efficient data management solutions.

Experian

SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.

SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.

What are the key features of SAS Data Management?

User-friendly interface: Intuitive navigation facilitates ease of use.
Easy data flow creation: Streamlines processes for seamless data management.
Scheduling and ETL control: Automates tasks for increased efficiency.
Data integration: Connects datasets from multiple origins.
Metadata management: Ensures consistency and quality of data.
Data governance: Provides tools for managing data compliance.
Robust reporting: Delivers comprehensive insights through detailed reports.

What benefits and ROI should be considered?

Data standardization: Enhances data predictability and usability.
Data quality management: Improves accuracy and integrity.
Flexible language: Adapts to specific user requirements.
Import/export capabilities: Facilitates seamless data transitions.
Support for diverse users: Offers tools suitable for varied skill levels.
Automation features: Saves time by reducing manual processes.

SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.

SAS

Sample Customers

Overstock.com, Cabela, Drugstore.com, Saks Fifth Avenue, Midmark, Umpqua Bank, Colorado Department of Labor & Employment, Fresno Pacific University, University of North Texas, ALDO

Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance

Buyer's Guide

Experian Data Quality vs. SAS Data Management

June 2026

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