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By WinPure
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Scheduled Data Checks
Schedule periodic (weekly, monthly, etc.) checks on existing address data to verify correctness and formatting.
Reporting
Produce reports and data visualization regarding address verification actions.
Provide follow-up information after data cleanings through a visual dashboard or reports.
Automation
Automatically run data identification, correction, and normalization on data sources.
Quality Audits
Schedule automated audits to identify data anomalies over time based on set business rules.
Dashboard
Gives a view of the entire data quality management ecosystem.
Governance
Allows user role-based access and actions to authorization for specific tasks.
Address Verification
Checks address data against an authoritative address database (usually government).
Verify addresses automatically on the data source as new entries are added.
Cleansing
Purge or update incorrect data through corrective processes like fuzzy matching.
International Verification
Checks address data against authoritative databases from two more more countries.
Identification
Correctly identify inaccurate, incomplete, or duplicated data from a data source.
Correction
Utilize deletion, modification, appending, merging, or other methods to correct bad data.
Normalization
11 reviewers of WinPure Clean & Match have provided feedback on this feature.
Standardize data formatting for uniformity and easier data usage.
Preventative Cleaning
Clean data as it enters the data source to prevent mixing bad data with cleaned data.
Data Matching
Finds duplicates using the fuzzy logic technology or an advance search feature.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.