Oracle Data Quality Features

Based on 16 Oracle Data Quality reviews. Correctly identify inaccurate, incomplete, or duplicated data from a data source.

Utilize deletion, modification, appending, merging, or other methods to correct bad data. 16 reviewers of Oracle Data Quality have provided feedback on this feature.

As reported in 16 Oracle Data Quality reviews. Standardize data formatting for uniformity and easier data usage.

Clean data as it enters the data source to prevent mixing bad data with cleaned data. 16 reviewers of Oracle Data Quality have provided feedback on this feature.

Finds duplicates using the fuzzy logic technology or an advance search feature. 14 reviewers of Oracle Data Quality have provided feedback on this feature.

Based on 16 Oracle Data Quality reviews. Provide follow-up information after data cleanings through a visual dashboard or reports.

Automatically run data identification, correction, and normalization on data sources. This feature was mentioned in 16 Oracle Data Quality reviews.

Schedule automated audits to identify data anomalies over time based on set business rules. This feature was mentioned in 14 Oracle Data Quality reviews.

Gives a view of the entire data quality management ecosystem. This feature was mentioned in 14 Oracle Data Quality reviews.

Allows user role-based access and actions to authorization for specific tasks. 14 reviewers of Oracle Data Quality have provided feedback on this feature.

As reported in 14 Oracle Data Quality reviews. Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary. 14 reviewers of Oracle Data Quality have provided feedback on this feature.