Oracle Data Quality Features

Correctly identify inaccurate, incomplete, or duplicated data from a data source. This feature was mentioned in 16 Oracle Data Quality reviews.

Based on 16 Oracle Data Quality reviews. Utilize deletion, modification, appending, merging, or other methods to correct bad data.

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

As reported in 16 Oracle Data Quality reviews. Clean data as it enters the data source to prevent mixing bad data with cleaned data.

Based on 14 Oracle Data Quality reviews. Finds duplicates using the fuzzy logic technology or an advance search feature.

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

As reported in 16 Oracle Data Quality reviews. Automatically run data identification, correction, and normalization on data sources.

Based on 14 Oracle Data Quality reviews. Schedule automated audits to identify data anomalies over time based on set business rules.

As reported in 14 Oracle Data Quality reviews. Gives a view of the entire data quality management ecosystem.

Based on 14 Oracle Data Quality reviews. Allows user role-based access and actions to authorization for specific tasks.

Allows users to generate text based on a text prompt. This feature was mentioned in 14 Oracle Data Quality reviews.

As reported in 14 Oracle Data Quality reviews. Condenses long documents or text into a brief summary.