WinPure Clean & Match Features

Schedule periodic (weekly, monthly, etc.) checks on existing address data to verify correctness and formatting.

Produce reports and data visualization regarding address verification actions.

Provide follow-up information after data cleanings through a visual dashboard or reports.

Automatically run data identification, correction, and normalization on data sources.

Schedule automated audits to identify data anomalies over time based on set business rules.

Gives a view of the entire data quality management ecosystem.

Allows user role-based access and actions to authorization for specific tasks.

Checks address data against an authoritative address database (usually government).

Verify addresses automatically on the data source as new entries are added.

Purge or update incorrect data through corrective processes like fuzzy matching.

Checks address data against authoritative databases from two more more countries.

Correctly identify inaccurate, incomplete, or duplicated data from a data source.

Utilize deletion, modification, appending, merging, or other methods to correct bad data.

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.

Finds duplicates using the fuzzy logic technology or an advance search feature.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.