We performed a comparison between iWay Omni-Gen Data Quality and Melissa Data Quality based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality."Works quickly to develop and deploy to production."
"Be confident that the scalability and load are not going to be an issue with the services. "
"Allows us to delete and correct incorrect data to make the searching of our applicant tracking system more consistent and relevant."
"We use a Melissa API to access the data, so it easy to use, accurate, and fast."
"It saves a huge amount of time. Before using this service, we used a vendor that manually ran our lists through this NCOA list, which might have taken one to three business days to return the file. This was a huge bottleneck in our process, and the data returned was not always accurate. After switching to Melissa Data’s SmartMover, the process has been reduced to between ten minutes and three hours, depending on the amount of records sent."
"The customers' addresses are now complete, correct and follow one consistent format."
"By validating and parsing the addresses our customers submit to us, we have reduced the number of addressing errors encountered during our processing."
"There have been tangible benefits in combating fraudulent transactions. The information from Melissa Data is fed straight into our fraud system. This creates efficiency but also removes the need for manual address checks."
"Provides quality accurate data that our downstream solutions depend on."
"Special integration support could be improved."
"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."
"The SSIS component setup seems a little klunky."
"The billing structure does not seem very accurate. We’ve had issues with miscounted batch records processed"
"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."
"Needs to validate more addresses accurately."
"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."
"MatchUp is a more complex product and I recommend a test area before upgrading to production. Performance can change from version to version."
"Many issues, sometimes I have to completely log out and start over."
iWay Omni-Gen Data Quality is ranked 29th in Data Quality while Melissa Data Quality is ranked 9th in Data Quality with 40 reviews. iWay Omni-Gen Data Quality is rated 9.0, while Melissa Data Quality is rated 8.4. The top reviewer of iWay Omni-Gen Data Quality writes "The speed from development and deployment to production saves us a lot of time". On the other hand, the top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". iWay Omni-Gen Data Quality is most compared with , whereas Melissa Data Quality is most compared with Informatica Address Verification, SAP Data Quality Management, Precisely Trillium and Experian Data Quality.
See our list of best Data Quality vendors and best Data Scrubbing Software vendors.
We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
