Experian Data Quality vs SAP Information Steward comparison

Experian and SAP are both solutions in the Data Quality category. Experian is ranked #14, while SAP is ranked #18. Experian holds a 4.0% mindshare in DQ, compared to SAP’s 2.9% 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

2,607 Views
1,069 Comparison Views

87% willing to recommend

SAP Information Steward

Read 9 SAP Information Steward reviews

1,703 Views
1,141 Comparison Views

100% willing to recommend

Experian Data Quality

SAP Information Steward

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

Experian Data Quality and SAP Information Steward compete in the data management solutions category. SAP Information Steward holds an advantage with its comprehensive features, while Experian Data Quality is more cost-effective and easier to deploy.

Features: Experian Data Quality offers straightforward data validation, cleansing, and deduplication. It is known for its ease in data integration tasks, which enhances user efficiency. It also delivers essential data profiling capabilities. SAP Information Steward provides advanced metadata management, data lineage tracking, and aids in data governance. Its comprehensive data quality tools emphasize detailed data analysis.

Room for Improvement: Experian Data Quality could enhance its metadata management and data lineage capabilities for improved governance. Increasing its feature set would align it more with broader enterprise needs. Additionally, offering more advanced analytics tools could increase its competitiveness. SAP Information Steward might benefit from simplifying its deployment process to attract smaller businesses. Enhancing its initial setup support could also speed up implementation. Providing a more intuitive user interface might help reduce training time.

Ease of Deployment and Customer Service: Experian Data Quality is recognized for a straightforward deployment process, suitable for quick and efficient setups. Its reliable customer service supports quick issue resolution. SAP Information Steward, while robust for complex environments, can require more intricate setups. However, it provides extensive support to effectively manage technical issues.

Pricing and ROI: Experian Data Quality is competitively priced, appealing to small to medium-sized businesses seeking effective data solutions without high costs. SAP Information Steward involves a higher initial cost, justified by its extensive features, which deliver significant ROI for companies with complex data management needs, offering greater value over time.

To learn more, read our detailed Experian Data Quality vs. SAP Information Steward Report (Updated: June 2026).

Buyer's Guide

Experian Data Quality vs. SAP Information Steward

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)

SAP Information Steward

Ranking in Data Quality

18th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Metadata Management (10th)

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 SAP Information Steward is 2.9%, up from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
Experian Data Quality	4.0%
SAP Information Steward	2.9%
Other	93.1%

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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FranciscoSantos

Director at Pixel Studio PTY

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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Quotes from Members

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

Pros

"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."

"The customer service was very good."

"It is excellent for data profiling."

"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."

"Setup is straightforward."

"Data integration is much easier with Information Steward - irrespective of the data sources, integration is very smooth and easy."

"I am very happy with the product."

"The data profiling was excellent, as was the ease of generating the dashboards."

"The Data Cleansing and the scorecard dashboard are very valuable. Additionally, the financial aspect of SAP Information Steward is very good. When a rule is incorrect then it will show how much is it costing the business. These features are very valuable."

"The solution is user-friendly even for those who are dealing with it for the first time."

"The most valuable features are data quality insight, metadata management, and metadata dictionary."

"The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits."

More SAP Information Steward pros

Cons

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

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

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

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

"SAP Information Steward is an expensive solution compared to others."

"The support team is not very responsive."

"Needs to be more powerful on rules."

"The user experience of metapedia could be improved."

"Granularity could be reduced from an application level to the object level."

"Performance could be improved."

"From a performance perspective, sometimes it behaves weirdly. When we are connecting with the file-based system, it doesn't give us the correct results, or it somehow shows us there is this issue with the data or the file connectivity."

"SAP Information Steward could be improved by offering a cloud version of the product."

More SAP Information Steward cons

Pricing and Cost Advice

Information not available

"I do not know if there were additional costs beyond the standard licensing fees."

"A bit pricey, and better tools are available for a lower price."

"SAP Information Steward is an expensive solution compared to others."

"Smaller-sized organizations may not be able to invest in SAP Information Steward because of the cost."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Retailer

Manufacturing Company

University

Manufacturing Company

18%

Government

15%

Financial Services Firm

Comms Service Provider

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	1
Large Enterprise	7

Comparisons

Kroll-Software FuzzyDupes vs Experian Data Quality

Compared 23% of the time

Melissa Data Quality vs Experian Data Quality

Compared 9% of the time

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

Compared 5% of the time

Qlik Talend Cloud vs Experian Data Quality

Compared 5% of the time

Data8 Data Quality vs Experian Data Quality

Compared 5% of the time

More Experian Data Quality Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Information Steward

Compared 12% of the time

SAP PowerDesigner vs SAP Information Steward

Compared 12% of the time

SAP Data Quality Management vs SAP Information Steward

Compared 9% of the time

Oracle Enterprise Data Quality (EDQ) vs SAP Information Steward

Compared 8% of the time

More SAP Information Steward Competitors

Product Reports

Buyer's Guide

Data Quality

June 2026

Download Experian Data Quality product report

Buyer's Guide

SAP Information Steward

May 2026

Download SAP Information Steward product report

Also Known As

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

Information Steward, SAP Data Insight

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

SAP Information Steward offers data quality insights, metadata management, and data validation scorecards, ensuring accurate data validation through scorecards and dashboards, making it user-friendly and efficient for businesses seeking clarity and effective data profiling.

SAP Information Steward provides a comprehensive approach to managing data quality and governance. It is designed to simplify deployment and streamline data profiling and cleansing with ease. Businesses leverage its capabilities to create data quality rules and detect issues in source systems, enhancing business clarity and accurate data validation. Centralizing cloud data and offering business-friendly metadata descriptions with Metapedia, it supports better metadata management and data profiling. However, it requires improvements in data export capabilities, integration for data manipulation, data filtering features, and enhanced support responsiveness.

What are the key features of SAP Information Steward?

Data Quality Insight: Provides tools for insightful data quality assessments.
Metadata Management: Allows centralized management of metadata through Metapedia.
Scorecard for Data Validation: Offers intuitive scorecards and dashboards for validating data accuracy.
Data Profiling and Cleansing: Facilitates effective profiling and cleansing processes.
Cloud Data Centralization: Centralizes cloud data for effective management.

What benefits and ROI should users look for?

Ease of Deployment: Simplifies the integration into existing systems ensuring swift usage.
User-friendly Interface: Enhances usability for efficient operations.
Accurate Data Validation: Improves the accuracy of business data.
Comprehensive Metadata Descriptions: Offers detailed business-friendly descriptions.
Integrated Data Profiling: Enhances the quality and accuracy of data management.

Industries implement SAP Information Steward widely, notably in global enterprises for S/4HANA business processes and historical reporting, prioritizing data profiling, data quality assessments, and business rules for managing customer information and transformations. Its Metapedia component supports data governance initiatives within these businesses.

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

American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated

Buyer's Guide

Experian Data Quality vs. SAP Information Steward

June 2026

Free Report: Experian Data Quality vs. SAP Information Steward

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