SAP Data Quality Management vs SAP Information Steward comparison

SAP Data Quality Management and SAP Information Steward are both solutions in the Data Quality category. SAP Data Quality Management is ranked #6 with an average rating of 9.0, while SAP Information Steward is ranked #9 with an average rating of 7.7. SAP Data Quality Management holds a 6.9% mindshare in DQ, compared to SAP Information Steward’s 6.1% mindshare. Additionally, 100% of SAP Data Quality Management users are willing to recommend the solution, compared to 100% of SAP Information Steward users who would recommend it.

SAP Data Quality Management

Read 2 SAP Data Quality Management reviews

694 Views
571 Comparison Views

100% willing to recommend

SAP Information Steward

Read 9 SAP Information Steward reviews

746 Views
412 Comparison Views

100% willing to recommend

SAP Data Quality Management

SAP Information Steward

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between SAP Data Quality Management and SAP Information Steward based on real PeerSpot user reviews.

Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed SAP Data Quality Management vs. SAP Information Steward Report (Updated: December 2024).

Buyer's Guide

SAP Data Quality Management vs. SAP Information Steward

December 2024

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Categories and Ranking

SAP Data Quality Management

Ranking in Data Quality

6th

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

SAP Information Steward

Ranking in Data Quality

9th

Average Rating

7.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Metadata Management (6th)

Mindshare comparison

As of December 2024, in the Data Quality category, the mindshare of SAP Data Quality Management is 6.9%, down from 13.3% compared to the previous year. The mindshare of SAP Information Steward is 6.1%, down from 8.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality

Featured Reviews

Rene Dorantes

IT Manufacturing Intelligence Chief at Productos Laminados de Monterrey

Scalable, stable, and offers good technical support

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. What I'd like to see from SAP Data Quality Management in the future is the integration of machines on the shop floor or a feature that connects shop floor devices. I'd also like a custom dashboard in the solution, though I wonder if that's available in the new version. The old version my company uses doesn't have that. Another feature I want in the next release of SAP Data Quality Management is better communication between the ME and the SAP systems.

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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

"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."

"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."

"Data insight is the most valuable feature."

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

"Setup is straightforward."

"The solution is very fast."

"Ability to collect information, monitor user access and to plan storage capacity."

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

"Initial setup was straightforward."

More SAP Information Steward pros

Cons

"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."

"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."

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

"We'd like to see some manipulation techniques included in SAP Information Steward."

"The support team is not very responsive."

"Needs to be more powerful on rules."

"A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies."

"The solution could improve by incorporating other applications, such as Power BI to show more visualization. More interaction with other solutions would be a good benefit."

"The user experience of metapedia could be improved."

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

More SAP Information Steward cons

Pricing and Cost Advice

Information not available

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

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

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

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

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Top Industries

By visitors reading reviews

Manufacturing Company

18%

Financial Services Firm

15%

Computer Software Company

13%

Energy/Utilities Company

13%

Manufacturing Company

19%

Financial Services Firm

15%

Computer Software Company

12%

Government

12%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about SAP Data Quality Management?

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 i...

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What needs improvement with SAP Data Quality Management?

See all answers

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

In the last three years, my company used SAP Data Quality Management for a manufacturing site, particularly for creating inspection lots, recording the results, and costing the inspection lots from...

See all answers

What do you like most about SAP Information Steward?

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

See all answers

What is your experience regarding pricing and costs for SAP Information Steward?

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

See all answers

What needs improvement with SAP Information Steward?

SAP Information Steward could be improved by offering a cloud version of the product. Rather than creating an evolution of this product, they have created a completely different solution with Data ...

See all answers

Comparisons

SAP Data Services vs SAP Data Quality Management

Compared 37% of the time

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

Compared 35% of the time

More SAP Data Quality Management Competitors

SAP Data Services vs SAP Information Steward

Compared 28% of the time

Syniti Information Management vs SAP Information Steward

Compared 28% of the time

SAP PowerDesigner vs SAP Information Steward

Compared 22% of the time

More SAP Information Steward Competitors

Product Reports

Buyer's Guide

Data Quality

November 2024

Download SAP Data Quality Management product report

Buyer's Guide

SAP Information Steward

November 2024

Download SAP Information Steward product report

Also Known As

SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management

Information Steward, SAP Data Insight

Learn More

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SAP

Overview

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.

Monitor, analyze, and improve data integrity with SAP Information Steward software. Combine data profiling and metadata management tools for continuous insight into the quality of enterprise information to optimize processes, and enhance operational, analytical, and data governance initiatives.

Sample Customers

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

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

Buyer's Guide

SAP Data Quality Management vs. SAP Information Steward

December 2024

Free Report: SAP Data Quality Management vs. SAP Information Steward

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