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Top 8 Data Quality Tools

SAP Data ServicesSAS Data ManagementInformatica Data QualityTalend Data QualityIBM Infosphere Information AnalyzerMelissa Data QualityOracle Data QualitySAP Information Steward
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    The most valuable feature is the ETL functionality.Its integration capabilities and the data migration capabilities are the most valuable. It is very good for SAP and non-SAP tools. It has very good integration with SAP, but it also has the capabilities to connect to other systems. We find it very helpful and stable.
  2. The product offers very good flexibility.In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features.
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  4. The user interface is flexible and the visibility of the data flow is amazing.It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy.
  5. It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seam
  6. Address parsing. Our other software does not have this functionality.Getting the most up to date address for our members. We like to keep in touch with membership a few times a year so we want to maintain up to date addresses to be sure they receive any information that we mail to them.
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  8. I have found the most valuable features to be data cleansing and deduplication.With Oracle Data Quality, the most valuable feature is entity matching.
  9. Ability to collect information, monitor user access and to plan storage capacity.
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: September 2021.
542,029 professionals have used our research since 2012.