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Talend Announces Talend Data Quality

Published: 20 August 2008

Talend Data Quality identifies “dirty data” such as nicknames, duplicated records and shortened street addresses and corrects them using reference data from providers such as the U.S. Postal Service.

Talend announced Talend Data Quality, the first product to combine data integration, data profiling and data quality in an open source suite.

Talend Data Quality identifies “dirty data” such as nicknames, duplicated records and shortened street addresses and corrects them using reference data from providers such as the U.S. Postal Service. Talend Data Quality even allows companies to distinguish hard-to-discern nicknames such as “Peggy,” “Peg,” “Marge” and “Meg” – all short for “Margaret.” In the past, such inconsistent data would have produced lost or multiple mailings that annoyed customers, spoiled sales leads and sapped worker productivity.

“With today’s interconnected information systems, bad data spreads the same way viruses are spread by travelers,” said Bertrand Diard, CEO and Cofounder of Talend. “Companies in every industry know too well the costs of poor-quality data including lost sales, wasted employee hours, unnecessary mailing costs and damaged reputations. Talend Data Quality ‘cleanses’ dirty data until it’s accurate, complete and consistent so companies can regain control of one of their most valuable assets – their data.”
Talend Data Quality allows companies to confirm addresses, phone numbers, spellings and abbreviations against millions of other records including the U.S. Postal Service and mailing databases in many other countries. It could easily determine, for example, that “William Smith at 15 Main Street” and “Billy Smith at 15 Main Str.” are the same person, saving multiple mailings to the same address.