Experian Data Quality vs SAP Data Quality Management comparison

Experian and SAP are both solutions in the Data Quality category. Experian is ranked #16, while SAP is ranked #9 with an average rating of 7.0. Experian holds a 3.6% mindshare in DQ, compared to SAP’s 3.4% mindshare. Additionally, 87% of Experian users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

Experian Data Quality

Read 7 Experian Data Quality reviews

1,792 Views
573 Comparison Views

87% willing to recommend

SAP Data Quality Management

Read 3 SAP Data Quality Management reviews

738 Views
701 Comparison Views

100% willing to recommend

Experian Data Quality

SAP Data Quality Management

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 6, 2025

Experian Data Quality and SAP Data Quality Management are products competing to enhance data management. SAP Data Quality Management has the upper hand due to its robust features and comprehensive capabilities, despite higher costs.

Features: Experian Data Quality offers user-friendly data cleansing, seamless integration options, and improved accuracy tools. SAP Data Quality Management provides advanced data profiling, enrichment options, and extensive functionality, making it a leader in features.

Ease of Deployment and Customer Service: Experian Data Quality features a straightforward deployment process with excellent customer support, making it quick to adopt. SAP Data Quality Management, though complex to deploy, offers a comprehensive support system suitable for organizations with greater technical capacities without hindering reliability.

Pricing and ROI: Experian Data Quality generally involves lower setup costs, leading to quicker ROI due to its minimal implementation requirements. SAP Data Quality Management requires a higher initial investment but offers extensive features that promise long-term ROI. The choice depends on whether an organization prioritizes cost-effectiveness or a comprehensive feature set.

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

Buyer's Guide

Experian Data Quality vs. SAP Data Quality Management

March 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

16th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Scrubbing Software (2nd)

SAP Data Quality Management

Ranking in Data Quality

9th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Data Quality category, the mindshare of Experian Data Quality is 3.6%, up from 1.8% compared to the previous year. The mindshare of SAP Data Quality Management is 3.4%, down from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
SAP Data Quality Management	3.4%
Experian Data Quality	3.6%
Other	93.0%

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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VenkatB

Director at Norderia

Embrace efficient data management with integrated features but anticipate some enhancement needs

This tool itself is new. SAP Data Quality Management was brought in by SAP recently, maybe a year or two years back. We just started implementing and we still have not heard exact feedback from the client. It would not be correct if I give feedback now because I don't have accurate feedback from client usage. I feel it is a good tool with some limitations. We compared it with Celonis, which is also one of the other tools in the market. I am more into SAP and S4 HANA, so I am not familiar with all the best tools available in Data Quality Management which can be compatible with SAP. We know there are issues with SAP Data Quality Management. The advantage of this tool that SAP brought is that it is already in-built. You don't need to build another application layer on top of the existing one. The compatibility and response time for these applications within the same database is faster.

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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

"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."

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

"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 customer service was very good."

"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."

"Scalability is good."

"Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product."

"We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very important for our products."

Cons

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

"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."

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

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

"SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management."

"There are some limitations. They are not covering complete scenarios for all the modules."

"I would like for them to develop a feature to able to record all of our inspections; so all the data can go through SAP. It's not user-friendly or easy to get further analysis, so we mostly skip this step."

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Top Industries

By visitors reading reviews

Manufacturing Company

13%

Retailer

12%

University

10%

Performing Arts

Manufacturing Company

15%

Financial Services Firm

Transportation 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

No data available

Questions from the Community

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What needs improvement with SAP Data Quality Management?

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What is your primary use case for SAP Data Quality Management?

Currently, one of our clients is seeking SAP Data Quality Management solutions, so we are exploring options in that area. The product is not mature yet, so they need to work to improve it. We are a...

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What advice do you have for others considering SAP Data Quality Management?

For smaller organizations, I don't think this much is required. If it is a bigger size client from a business point of view, I definitely recommend this tool. They can use it if they are already us...

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Compared 9% of the time

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Product Reports

Buyer's Guide

Data Quality

February 2026

Download Experian Data Quality product report

Buyer's Guide

Data Quality

February 2026

Download SAP Data Quality Management product report

Also Known As

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

SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management

Overview

Experian Data Quality (previously QAS) contact data management tools help you capture correct address, email, and phone data as it comes in, Our data management platform, Experian Pandora, is an end to end platform that supports all your Data Management needs - Data Quality, Data Migration, Data Governance, Data Preparation and Single Customer View.

Experian

SAP BusinessObjects Data Quality Management, version for SAP solutions (DQM for SAP), enables you to embed support for data quality directly into SAP ERP,CRM and MDG applications. Start by entering a new customer, supplier, or partner record using the SAP ERP, SAP CRM , SAP MDG applications. Then this version of SAP BusinessObjects Data Quality Management software corrects components of the address, validates the address based on referential data sources, and formats the address according to the norms of the applicable country. This solution helps in avoiding the duplicate entities entering into your SAP ERP, CRM and MDG applications(supports different MDG data models for address validation and duplicate checks) and also helps in searching and improving your existing data.

SAP

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

AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, R

Buyer's Guide

Experian Data Quality vs. SAP Data Quality Management

March 2026

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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.