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Experian Data Quality vs SAP Information Steward comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 6, 2025

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
17th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
7
Ranking in other categories
Data Scrubbing Software (1st)
SAP Information Steward
Ranking in Data Quality
9th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Metadata Management (6th)
 

Mindshare comparison

As of May 2025, in the Data Quality category, the mindshare of Experian Data Quality is 1.7%, up from 1.5% compared to the previous year. The mindshare of SAP Information Steward is 3.4%, down from 4.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

it_user147552 - PeerSpot reviewer
Great for combining data quality & transformation together, but the automation & external access could be improved.
X88 has the ability to import large volumes of data at great speed whilst categorizing the metadata for each artifact. This is a great feature when you need to analyze some data in a fast turnaround. It also has self-generating documentation feature which is great as an input document to development of a more industrial long term solution.
FranciscoSantos - PeerSpot reviewer
Provides accurate data that is validated against a personalized reference tool
For most SAP customers, Information Steward is enough because it is able to build quality data rules to detect issues in the source systems like SAP HANA, Business Warehouse, or other systems. A business user can first organize their data into several data domains. For example, procurement, human resources, and logistics setup. The domains can build data quality dimensions where you can describe the kind of rule that you are going to use. The user then can immediately see if something is wrong with their data using traffic lights. Another great feature of SAP Information Steward is the accuracy that the content is followed by validating against the reference tool. With the solution, you are creating data quality dimensions. Within these dimensions, you are creating business data quality rules that are looking for specific fields. From these rules, you can create a scorecard. The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits. SAP tables have field names that are very cryptic, making them hard to understand the meaning of the fields. Metapedia helps describe these fields in business terms.
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
12%
University
9%
Retailer
8%
Manufacturing Company
22%
Financial Services Firm
16%
Government
13%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Also Known As

QAS-Experian Data Quality, Experian Pandora, Intelligent Search Technology Data Quality
Information Steward, SAP Data Insight
 

Overview

 

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
American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated
Find out what your peers are saying about Experian Data Quality vs. SAP Information Steward and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.