Talend Announces Open Source Data Quality Product
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Talend Data Quality is First to Combine Data Integration, Data Profiling and Data Quality in an Open Source Suite SAN DIEGO--(Business Wire)-- Talend today 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 co-founder 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. "Incorrect data leads to incorrect decisions. That's why high-quality data is crucial to any business," said Mark Madsen, president of Third Nature, a technology research firm. "Proper management of data quality is even more critical in the context of application interoperability. Because open source considerably lowers the barriers of entry, many organizations will be able to reap the benefits." Talend Data Quality's key features include: -- Data profiling: Provides snapshots and history of your company's data quality so you can measure improvements or degradation of the data over time. -- Data identification: Identifies poor-quality and good-quality data on a record-by-record basis. -- Data cleansing: "Cleans" incorrect, incomplete or inconsistent data by cross-checking against other databases and reference data. -- Data enrichment: Enriches data with information such as latitude and longitude, census data, credit scores and other details that make it more valuable - for example by enabling mailings to targeted income groups or consolidating delivery routes among nearby addresses. The announcement of Talend Data Quality comes two months after the introduction of Talend Open Profiler, the first open source data profiler, further underscoring Talend's pioneering role in open source data integration and data quality. Talend Data Quality will be available in September 2008 as a standalone product or as an added feature to Talend Integration Suite. About Talend Talend is the first provider of open source data integration software. After three years of intense research and development and with solid financial backing from leading investment firms, Talend revolutionized the world of data integration when it released the first version of Talend Open Studio in 2006. Talend's solutions are used primarily for migration and integration between operational systems, as well as for ETL (Extract, Transform, Load) for Business Intelligence and Data Warehousing. Unlike proprietary, closed solutions that only the largest organizations can afford, Talend makes enterprise-class data integration solutions affordable to organizations of all sizes. To download Talend Open Studio free of charge, visit www.talend.com Talend Yves de Montcheuil firstname.lastname@example.org or Schwartz Communications John McElhenny, 781-684-0770 email@example.com Copyright Business Wire 2008
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