Valuable features of Oracle Data Quality include address verification, integrated data profiling, auditing, cleansing, data cleansing, entity matching, deduplication, and synchronization of data. It excels in extraction, transformation, and validation, and integrates with third-party applications. Users appreciate its speed with large volumes of data and benefit from Master Data Management for a unified view. It is known for ease of use, maintenance, and customizable platform capabilities.
- "The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. I also like that Oracle Data Quality is very fast, so you can use it for a large volume of data within a short period.You have to do the validation very quickly, so the solution helps in that area of data quality.Another feature of Oracle Data Quality that I like is the MDM (Master Data Management) where you'll have a single source of protection, and this makes the solution perfect and helpful to my company."
- "I have found the most valuable features to be data cleansing and deduplication."
- "With Oracle Data Quality, the most valuable feature is entity matching."
Oracle Data Quality requires enhancements such as improved documentation, faster integration, and deployment processes. Users seek better performance in integration with ERP tools and data warehousing solutions like Azure. There is a need for more intuitive interfaces for non-technical users and reduced dependency on code writing. Cloud offerings and mobile support would increase competitiveness, alongside improved validation accuracy and comprehensive coverage of industry standards. Revisiting the pricing strategy and installation processes would be beneficial.
- "Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality.What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution."
- "Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit."
- "Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script."
