Data cleansing

DataCleaner, as it's name suggest, can be used as a plaform for cleaning your data. Through a rich set of transformers and analyzers, here's some examples of what you can do:

• Standardize values using synonyms.
• Conform dates to a single date format.
• Parse, extract and normalize information, for example using regular expressions or scripts.

Furthermore DataCleaner is integrated with EasyDataQuality, which provides on-demand Data Quality functions as a service. Through EasyDataQuality you can perform advanced cleansing and enrichment operations like:

• Address validation and cleansing.
• Name checking and enrichment of gender, salutation and more.
• Phone number validation and line type categorization.
• Email address validation and correction.