Melissa Data Corp

Talend and Melissa Data Partner to Advance Data Quality for All Organizations

Talend, a global open source software leader, and Melissa Data, a leading provider of global contact data quality solutions, announced a partnership to meet the evolving data quality demands of enterprise organizations. Through the partnership, Talend’s data quality solution, Talend Enterprise Data Quality, will integrate Melissa Data’s address validation algorithms, precise email validity detection, and native fraud detection capabilities.

“Melissa Data has built a reputation for providing high caliber address verification and data hygiene products, and we’re pleased to be working with them,” said Fabrice Bonan, co-founder and chief technical officer, Talend. “This partnership couples the extensive address resolution service of Melissa Data with the comprehensive and easy-to-use profiling, matching and cleansing technology of Talend, providing address data quality that is essential to almost every enterprise business.”

“Inaccurate, missing or outdated address information can have a tremendous negative impact on all communication processes and enterprise-wide activities for which address data is used,” said Ray Melissa, founder and president, Melissa Data. “By combining our global address verification technology with Talend’s data quality solution, customers canmake sound business decisions guided by accurate data.”

Talend Enterprise Data Quality is a comprehensive enterprise data quality management solution that delivers not only data profiling and discovery, but also data cleaning, data enrichment, data migration and data synchronization functionality. Talend Enterprise Data Quality is fully integrated with Talend’s other products through the Talend Unified Platform, providing close integration with data integration, master data management, enterprise service bus and business process management.

"As the focus on information governance continues to grow, data quality initiatives, including the need to validate key elements of customer data, are becoming bigger and more deeply embedded in operational systems and processes,” said Ted Friedman, vice president and distinguished analyst at Gartner. 

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