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."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."
"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."
"Initial setup was straightforward."
"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 very fast."
"Data insight is the most valuable feature."
"The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits."
"Ability to collect information, monitor user access and to plan storage capacity."
"The data profiling was excellent, as was the ease of generating the dashboards."
"The most valuable features are data quality insight, metadata management, and metadata dictionary."
"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 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."
"Performance could be improved."
"The user experience of metapedia could be improved."
"Granularity could be reduced from an application level to the object level."
"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."
SAP Data Quality Management is ranked 5th in Data Quality with 2 reviews while SAP Information Steward is ranked 6th in Data Quality with 9 reviews. SAP Data Quality Management is rated 8.6, while SAP Information Steward is rated 7.6. The top reviewer of SAP Data Quality Management writes "Scalable, stable, and offers good technical support". On the other hand, the top reviewer of SAP Information Steward writes "Great for collecting, monitoring and planning storage capacity; functionality could be improved". SAP Data Quality Management is most compared with SAP Data Services, Melissa Data Quality, Informatica Address Verification, Informatica Data Quality and Syniti Data Quality, whereas SAP Information Steward is most compared with SAP Data Services, Innovative Systems iLytics Enterprise Data Quality, SAP PowerDesigner, Syniti Information Management and Informatica Data Quality. See our SAP Data Quality Management vs. SAP Information Steward report.
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