We performed a comparison between Melissa Data Quality 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."Address parsing. Our other software does not have this functionality."
"Extremely easy to install and setup."
"Be confident that the scalability and load are not going to be an issue with the services. "
"Through more accurate data, our marketing department has been able to increase delivery and conversion rates through email direct marketing initiatives."
"Enables us to send out bulk mailings when we need to verify NCOA."
"This tool works better for us than using a batch processing system that we do not have enough control over as each record is being processed."
"Ability to validate addresses, make corrections to address."
"Provides simplicity, ease of use, combined with overall accuracy of data."
"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."
"One thing I would want to have, when you're doing a property search, you can do it either on the FIPS in the APN number or the address itself. For some entries, I'll have the APN number, and some I'll have the address. Apparently it cannot process something when both the FIPS-APN and the address are on there. I have to sort, once with one and once with the other, which is a little bit of a pain."
"Address validation and parsing in a few countries have room for improvement."
"MatchUp seems to be single threaded, and limits the amount of data that can be processed automatically."
"It would be nice if it also had a user interface, as it did in years past."
"It could always be cheaper."
"There are some companies out there using Google or other sources to check / confirm if addresses are residential. If Melissa is not doing this, that could be an improvement."
"Many issues, sometimes I have to completely log out and start over."
"It will mix up family members at times, so we will change addresses at times that shouldn’t be changed."
"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
Melissa Data Quality is ranked 9th in Data Quality with 40 reviews while SAP Data Quality Management is ranked 5th in Data Quality with 2 reviews. Melissa Data Quality is rated 8.4, while SAP Data Quality Management is rated 8.6. The top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". On the other hand, the top reviewer of SAP Data Quality Management writes "Scalable, stable, and offers good technical support". Melissa Data Quality is most compared with Informatica Address Verification, Precisely Trillium and Experian Data Quality, whereas SAP Data Quality Management is most compared with SAP Data Services, SAP Information Steward, Informatica Address Verification, Informatica Data Quality and Syniti Data Quality.
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