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."Enables us to send out bulk mailings when we need to verify NCOA."
"It cuts down significantly on time in trying to match names to addresses. I can do in a few hours what would otherwise take days to accomplish."
"Decreases chances of incorrect shipping addresses and, thus, returned packages."
"Helps our organization provide accurate address information to our customers for direct mailing (household) and other campaigns they want to do."
"By validating and parsing the addresses our customers submit to us, we have reduced the number of addressing errors encountered during our processing."
"We are able to send out client mailings with the most accurate addresses possible."
"Through more accurate data, our marketing department has been able to increase delivery and conversion rates through email direct marketing initiatives."
"Services for all manner of data-driven organizations, no matter their size or budget."
"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."
"An area for improvement is where an end customer's address is not found in the Melissa Data database, even though it is a valid address."
"We would appreciate it if there was a larger database so that we could find information more often. For example, we can search for 10 people and only find the information for three of them, if we are lucky."
"More countries should be supported by Melissa."
"Tech support at Melissa Data was very quick to wash their hands of an issue and say it's IT policies on my side that are causing the issue. There was no offer to try and find a work-around. Just an overwhelming attitude of "it’s not our problem.""
"We have noticed that some of the emails and addresses return with confusing or incorrect codes, but for the most part, it is accurate."
"Speed of delivery/ease of use. They advertise a 24-hour, next business day turn time on data annotation, but I’ve found it is usually closer to 72 hours. This is still excellent, just make sure you add in the appropriate fluff to your delivery timelines."
"The SSIS component setup seems a little klunky."
"One of the problems that we ran into this year was we probably spent over 40 hours finding and trying to drill down to where specific bugs were in the program, which was a tremendous waste of time for us. There were a couple of updates to Windows this year, the program kept crashing. It happened on two different occasions over a period of a few months. Once we told them what the problem was - even though their tech support is great to work with - it literally took probably about two months to fix the issue where we could actually use the program the way we needed to use it."
"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."
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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