Experian Data Quality vs SAS Data Management comparison

Experian and SAS are both solutions in the Data Quality category. Experian is ranked #12, while SAS is ranked #7 with an average rating of 9.0. Experian holds a 4.1% mindshare in DQ, compared to SAS’s 3.4% 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

2,369 Views
948 Comparison Views

87% willing to recommend

SAS Data Management

Read 18 SAS Data Management reviews

3,799 Views
874 Comparison Views

88% willing to recommend

Experian Data Quality

SAS Data Management

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 6, 2025

Experian Data Quality and SAS Data Management compete in the data management sector. Experian Data Quality has the upper hand in pricing and support, appealing to cost-conscious businesses, while SAS Data Management stands out with advanced features justifying its premium cost.

Features: Experian Data Quality offers data cleansing, verification, and enrichment, simplifying contact data management. SAS Data Management is enhanced by its advanced analytics and integration, ideal for complex data tasks. Both aim to solve different challenges, with Experian simplifying usability and SAS focusing on detailed functionality.

Room for Improvement: Experian Data Quality could expand its features for complex data analytics, improve integration with other systems, and enhance scalability to accommodate larger datasets. SAS Data Management could streamline its initial setup process, provide user-friendly interfaces for non-technical users, and offer more cost-effective pricing tiers.

Ease of Deployment and Customer Service: Experian Data Quality is easy to deploy, offering fast implementation with responsive customer service. SAS Data Management, while requiring a more detailed setup due to its extensive features, provides comprehensive training and strong support resources for implementation.

Pricing and ROI: Experian Data Quality is competitively priced with quick ROI, fitting for businesses seeking budget-friendly data management. SAS Data Management, despite a higher initial cost, offers long-term ROI through its robust capabilities, suitable for organizations needing comprehensive data operations.

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

Buyer's Guide

Experian Data Quality vs. SAS Data Management

April 2026

Download the complete report

Helped 893,221 peers since 2012

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

12th

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

7th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Integration (28th), Data Governance (23rd)

Mindshare comparison

As of May 2026, in the Data Quality category, the mindshare of Experian Data Quality is 4.1%, up from 1.7% compared to the previous year. The mindshare of SAS Data Management is 3.4%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
SAS Data Management	3.4%
Experian Data Quality	4.1%
Other	92.5%

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.

Read full review

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

Has supported centralized data access and improved governance through unified administration

The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS. The data integration tools with SAS Data Management were quite good because they allowed me to do all lineage, to manage and see all the variables, find the libraries where the data is, and understand the data in just one tool. Offering another development environment combining code and predefined objects, where I could just drag and drop to achieve what I needed, although some objects were not too good, but some were effective. The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool. SAS Data Management is very good for data governance; for me, it was the best tool I worked with in data management, although I don't have too much experience with others, and it truly helped a lot.

Read full review

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."

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

"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."

"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."

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

"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."

"The customer service was very good."

"The platform's robust data governance capabilities ensure strong compliance with regulatory standards."

"The interface of the solution is great, you don't need to be an experienced analytics person to work with the product, and even new users can do all sorts of modeling on the data."

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

"Their software pricing offers the best value for money on the market."

"The data integration tools with SAS Data Management were quite good because they allowed me to do all lineage, to manage and see all the variables, find the libraries where the data is, and understand the data in just one tool."

"Its robustness is valuable, it is a full-fledged suite, we have a data warehouse model, and there are also a lot of data quality management tools, the repository and all other tools are there, so it is a full package in terms of reporting tools."

"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."

"I find the solution to be very stable."

More SAS Data Management pros

Cons

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

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

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

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

"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 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."

"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."

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

"The stability could be a bit better. It's lacking in this area right now."

"Customer Service: When DataFlux was a standalone company, the customer service deserved an A+ rating. Now that it is a wholly owned subsidiary of SAS, and just one piece of a giant software conglomerate, I would give them a C+."

"Complex, as usual with SAS"

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

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

More SAS Data Management cons

Pricing and Cost Advice

Information not available

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

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

"The solution is expensive."

"The tool is a bit expensive."

See which vendors are best for you

Use our free recommendation engine to learn which Data Quality solutions are best for your needs.

See recommendations

893,221 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

11%

Retailer

10%

University

Financial Services Firm

20%

Healthcare Company

Government

Manufacturing Company

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	7
Midsize Enterprise	1
Large Enterprise	8

Questions from the Community

Ask a question

Earn 20 points

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

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

See all answers

What needs improvement with SAS Data Management?

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

See all answers

What is your primary use case for SAS Data Management?

The main idea for using SAS Data Management was to bring all data inside SAS. I brought the finance area and the sales area in the company that I have worked, along with some market planning data, ...

See all answers

Comparisons

Kroll-Software FuzzyDupes vs Experian Data Quality

Compared 26% of the time

Melissa Data Quality vs Experian Data Quality

Compared 9% of the time

Data8 Data Quality vs Experian Data Quality

Compared 5% of the time

Qlik Talend Cloud vs Experian Data Quality

Compared 5% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Experian Data Quality

Compared 5% of the time

More Experian Data Quality Competitors

Informatica PowerCenter vs SAS Data Management

Compared 10% of the time

WhereScape RED vs SAS Data Management

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management

Compared 8% of the time

Collibra Platform vs SAS Data Management

Compared 5% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 4% of the time

More SAS Data Management Competitors

Product Reports

Buyer's Guide

Data Quality

May 2026

Download Experian Data Quality product report

Buyer's Guide

SAS Data Management

April 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

April 2026

Free Report: Experian Data Quality vs. SAS Data Management

Find out what your peers are saying about Experian Data Quality vs. SAS Data Management and other solutions. Updated: April 2026.

DOWNLOAD NOW

893,221 professionals have used our research since 2012.

See our Experian Data Quality vs. SAS Data Management report.

See our list of best Data Quality vendors.

We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.