We performed a comparison between Informatica Address Verification and SAP Data Quality Management based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality."The scalability is very high."
"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."
"The only thing that I can imagine that might be improved is how the available transactions verify addresses used. These transactions have a valid end date and must be used within the agreed timeframe."
"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."
"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."
Earn 20 points
Informatica Address Verification is ranked 12th in Data Quality while SAP Data Quality Management is ranked 5th in Data Quality with 2 reviews. Informatica Address Verification is rated 8.4, while SAP Data Quality Management is rated 8.6. The top reviewer of Informatica Address Verification writes "Scalable, ensures proper data governance, and is easy to set up". On the other hand, the top reviewer of SAP Data Quality Management writes "Scalable, stable, and offers good technical support". Informatica Address Verification is most compared with Trillium TS Quality, Melissa Data Quality, Ataccama DQ Analyzer and Posidex Technologies Data Quality, whereas SAP Data Quality Management is most compared with SAP Data Services, SAP Information Steward, Melissa Data Quality, Informatica Data Quality and Syniti Data Quality.
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