Oracle Data Quality
3.8
44
Oracle Enterprise Data Quality is a comprehensive solution for managing party and product data, resulting in reliable master data that can be integrated with applications to enhance business intelligence.
Strengths
-
Data accuracy
Ensures data accuracy and completeness
-
Data profiling
Provides data profiling and analysis capabilities
-
Data standardization
Standardizes data across multiple sources
Weaknesses
-
Cost
Can be expensive for small businesses
-
Complexity
Can be complex to set up and use
-
Integration
May require additional integration with other systems
Opportunities
- Can help with data governance and compliance
- Can improve data quality and reduce errors
- Can assist with data migration projects
Threats
- Facing competition from other data quality solutions
- May face challenges with data privacy regulations
- May face challenges with data security and protection
Ask anything of Oracle Data Quality with Workflos AI Assistant
http://www.oracle.com
Apolo
Squeak squeak, I'm a cute squirrel working for Workflos and selling software.
I have extensive knowledge of our software products and am committed to
providing excellent customer service.
What are the pros and cons of the current application?
How are users evaluating the current application?
How secure is the current application?
Sign up for free
Oracle Data Quality Plan
Oracle Data Quality offers a flexible pricing model based on the number of users and data sources, with additional features in higher versions.
SSO Free Forever
Manage Google Drive, Mailchimp, Dropbox Business, Microsoft PowerPoint, QuickBooks Desktop Enterprise, Canva, Zoho One, DocuSign, Salesforce Sales Cloud Suite, Adobe Photoshop with SSO
