Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited
Real User
Top 5
Sep 14, 2022
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.
Project Manager/Application Architect at a insurance company with 1,001-5,000 employees
Real User
May 12, 2021
We are looking for a really good data integration tool. 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. It would be better if we needed to do less coding and have a system that is more like a CRM.
Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited
Real User
Top 5
Apr 30, 2020
There are some challenges with respect to standardization, matching, segregation, and merging. Our technical team has not found this to be problematic but it has been reported by some of our customers. Making this solution easier for non-technical end-users would be an improvement. If the length of time required for deployment was reduced then it would be very helpful. For example, rather than take two or three weeks to deploy, having a simple implementation done within two or three days would be great. The vendor needs to revisit their pricing strategy.
Data Quality solutions help businesses maintain the accuracy, completeness, and consistency of their data, enhancing decision-making processes and operational efficiency. These solutions are essential for ensuring data integrity across various enterprise systems and applications. Data Quality solutions provide organizations with the tools to cleanse, standardize, and validate data, reducing errors and enhancing reliability. With features like data profiling, these solutions facilitate...
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.
We are looking for a really good data integration tool. 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. It would be better if we needed to do less coding and have a system that is more like a CRM.
There are some challenges with respect to standardization, matching, segregation, and merging. Our technical team has not found this to be problematic but it has been reported by some of our customers. Making this solution easier for non-technical end-users would be an improvement. If the length of time required for deployment was reduced then it would be very helpful. For example, rather than take two or three weeks to deploy, having a simple implementation done within two or three days would be great. The vendor needs to revisit their pricing strategy.