Compare Oracle Data Quality and SAS Data Quality 
- Users report that Oracle Data Quality excels in its Identification functionality, scoring 9.2, which reviewers mention allows for highly accurate data profiling and anomaly detection, making it a preferred choice for enterprises needing robust data validation.
- Reviewers mention that SAS Data Quality, while scoring slightly lower at 8.8 for Normalization, offers a comprehensive set of tools that users appreciate for transforming and standardizing data across various formats, ensuring consistency in data quality.
- G2 users highlight Oracle's superior Correction capabilities with a score of 8.6, noting that its automated correction features significantly reduce manual intervention, whereas SAS Data Quality's score of 7.4 indicates room for improvement in this area.
- Users on G2 report that Oracle's Reporting features, scoring 9.0, provide detailed insights and customizable dashboards that enhance data visibility, while SAS Data Quality's 8.2 rating suggests that its reporting tools may not be as intuitive or flexible.
- Reviewers mention that both products offer similar scores in Automation at 8.2, but users say Oracle's automation features are more user-friendly, allowing for easier setup and management of data workflows compared to SAS.
- Users report that Oracle Data Quality's Quality Audits feature, with a score of 8.7, is particularly praised for its thoroughness and ease of use, while SAS Data Quality's 8.3 rating indicates that its audit capabilities may not be as comprehensive or user-friendly.
Our Email Marketing Campaigns were not getting enough open,click rate and many were bounced too. Keeping my emails away from inbox. I finally found Email Validation which removes all dead and bounced emails which do no exist anymore. Sending email campaign...
Imaging and color of the interface. The graphics could use improvement.
Being one of the best BI tools, this tool helps in a wide range of approaches for Business solutions and data-related operations. It helps in Processing the data efficiently and providing the desired outcome and solutions.
The SQL language does not come naturally
Our Email Marketing Campaigns were not getting enough open,click rate and many were bounced too. Keeping my emails away from inbox. I finally found Email Validation which removes all dead and bounced emails which do no exist anymore. Sending email campaign...
Being one of the best BI tools, this tool helps in a wide range of approaches for Business solutions and data-related operations. It helps in Processing the data efficiently and providing the desired outcome and solutions.
Imaging and color of the interface. The graphics could use improvement.
The SQL language does not come naturally
