Informatica Cloud Data Quality is valued for its Master Data Management, a user-friendly interface, cloud-based nature, and robust rule specification capabilities. It excels in handling large data volumes, seamless integration with data governance, and enhanced profiling. Address cleansing boosts data quality, while AI simplifies rule creation. Users appreciate the integration ease, reusability, and absence of server maintenance. Real-time monitoring and the ability to create custom use cases for business needs are also highlighted.
- "Informatica Cloud Data Quality was most valuable for our real-time data quality monitoring needs."
- "The quality of the data improves with Informatica Cloud Data Quality."
- "I would definitely recommend Informatica Data Quality to others."
Informatica Cloud Data Quality needs enhancements in handling spatial data, simplifying workflow configurations, and supporting older technologies like mainframes. More built-in algorithms for matching and mastering are desired. Users face challenges with missing on-premises features, limited transformations, and complex UI. Integration difficulties with older platforms and web services are noted. Advanced validation services are important for global users. Users cite issues with instability and cost due to developer-dependency for rule creation.
- "The downside of Informatica Cloud Data Quality is that it requires a developer to write rules and maintain the systems. This creates a significant cost and time burden."
- "Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable."
- "In certain domains, I am looking for material-level match features that are not customizable. The current solution requires code-writing and tweaking, while other solutions offer material-level matches."